NASA Logo, National Aeronautics and Space Administration
Publications associated with Datasets


1. Algae Raceway Data Set
Link to Dataset Page

No Publications


2. CFRP Composites Data Set
Link to Dataset Page

  1. A novel Bayesian imaging method for probabilistic delamination detection of composite materials, Peng, Tishun and Saxena, Abhinav and Goebel, Kai and Xiang, Yibing and Sankararaman, Shankar and Liu, Yongming, Smart Materials and Structures, Vol. 22 No. 12, 125019, 2013
  2. An Energy-Based Prognostic Framework to Predict Fatigue Damage Evolution in Composites, Chiach{\i}o, Juan and Chiach{\i}o, Manuel and Saxena, Abhinav and Rus, Guillermo and Goebel, Kai, Annual Conference of the Prognostics and Health Management Society, 2013
  3. Fatigue damage prognosis in frp composites by combining multi-scale degradation fault modes in an uncertainty Bayesian framework, Chiachio, M and Chiachio, J and Saxena, A and Rus, G and Goebel, K, Proceedings of the 9th international workshop on structural health monitoring, stanford, ca, usa, 10-12 september, 2013
  4. Accelerated aging experiments for prognostics of damage growth in composite materials, Saxena, A and Goebel, K and Larrosa, CC and Janapati, V and Roy, S and Chang, FK, The 8th International Workshop on Structural Health Monitoring, F.-K. Chang, editor, 2011


3. Milling Data Set
Link to Dataset Page

  1. Major Challenges in Prognostics: Study on Benchmarking Prognostics Datasets, Eker, OF and Camci, F and Jennions, IK, European Conference of Prognostics and Health Management Society, 2012
  2. Management of uncertainty in sensor validation, sensor fusion, and diagnosis of mechanical systems using soft computing techniques, Thesis, Goebel, Kai Frank, University of California, Berkeley, 1996


4. Bearing Data Set
Link to Dataset Page

  1. A data-driven failure prognostics method based on mixture of Gaussians hidden Markov models, Tobon-Mejia, Diego Alejandro and Medjaher, Kamal and Zerhouni, Noureddine and Tripot, Gerard, Reliability, IEEE Transactions on, Vol. 61 No. 2, 491--503, 2012
  2. Health condition monitoring of machines based on hidden markov model and contribution analysis, Yu, Jianbo, Instrumentation and Measurement, IEEE Transactions on, Vol. 61 No. 8, 2200--2211, 2012
  3. Local and nonlocal preserving projection for bearing defect classification and performance assessment, Yu, Jianbo, Industrial Electronics, IEEE Transactions on, Vol. 59 No. 5, 2363--2376, 2012
  4. Major Challenges in Prognostics: Study on Benchmarking Prognostics Datasets, Eker, OF and Camci, F and Jennions, IK, European Conference of Prognostics and Health Management Society, 2012
  5. Remaining useful life estimation for systems with non-trendability behaviour, Porotsky, Sergey and Bluvband, Zigmund, Prognostics and Health Management (PHM), 2012 IEEE Conference on, 1--6, 2012
  6. Logical analysis of maintenance and performance data of physical assets, ID34, Yacout, S, Reliability and Maintainability Symposium (RAMS), 2012 Proceedings-Annual, 1--6, 2012
  7. Power wind mill fault detection via one-class $\nu$-SVM vibration signal analysis, Martinez-Rego, David and Fontenla-Romero, Oscar and Alonso-Betanzos, Amparo, Neural Networks (IJCNN), The 2011 International Joint Conference on, 511--518, 2011
  8. cbmLAD-using Logical Analysis of Data in Condition Based Maintenance, Mortada, M-A and Yacout, Soumaya, Computer Research and Development (ICCRD), 2011 3rd International Conference on, 30--34, 2011
  9. Hidden Markov Models for failure diagnostic and prognostic, Tobon-Mejia, DA and Medjaher, Kamal and Zerhouni, Noureddine and Tripot, G{\'e}rard, Prognostics and System Health Management Conference (PHM-Shenzhen), 2011, 1--8, 2011
  10. Application of Wavelet Packet Sample Entropy in the Forecast of Rolling Element Bearing Fault Trend, Wang, Fengtao and Zhang, Yangyang and Zhang, Bin and Su, Wensheng, Multimedia and Signal Processing (CMSP), 2011 International Conference on, 12--16, 2011
  11. A Mixture of Gaussians Hidden Markov Model for failure diagnostic and prognostic, Tobon-Mejia, Diego Alejandro and Medjaher, Kamal and Zerhouni, Noureddine and Tripot, Gerard, Automation Science and Engineering (CASE), 2010 IEEE Conference on, 338--343, 2010
  12. Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics, Qiu, Hai and Lee, Jay and Lin, Jing and Yu, Gang, Journal of Sound and Vibration, Vol. 289 No. 4, 1066--1090, 2006


5. Battery Data Set
Link to Dataset Page

  1. Adaptation of an Electrochemistry-based Li-Ion Battery Model to Account for Deterioration Observed Under Randomized Use, Bole, B. and Kulkarni, C. and Daigle, M., Annual Conference of the Prognostics and Health Management Society, 2014
  2. Particle-filtering-based prognosis framework for energy storage devices with a statistical characterization of state-of-health regeneration phenomena, Olivares, Benjam{\'\i}n E and Munoz, Cerda and Orchard, Marcos E and Silva, Jorge F, Instrumentation and Measurement, IEEE Transactions on, Vol. 62 No. 2, 364--376, 2013
  3. Major Challenges in Prognostics: Study on Benchmarking Prognostics Datasets, Eker, OF and Camci, F and Jennions, IK, European Conference of Prognostics and Health Management Society, 2012
  4. Lithium-ion battery remaining useful life estimation based on nonlinear ar model combined with degradation feature, Liu, Datong and Luo, Yue and Peng, Yu and Peng, Xiyuan and Pecht, Michael, Annual Conference of the Prognostics and Health Management Society 2012, 24--27, 2012
  5. Data-driven prognostics for lithium-ion battery based on Gaussian process regression, Liu, Datong and Pang, Jingyue and Zhou, Jianbao and Peng, Yu, Prognostics and System Health Management (PHM), 2012 IEEE Conference on, 1--5, 2012
  6. Health monitoring and remaining useful life estimation of lithium-ion aeronautical batteries, Penna, JAM and Nascimento, CL and Ramos Rodrigues, L, Aerospace Conference, 2012 IEEE, 1--12, 2012
  7. Designing data-driven battery prognostic approaches for variable loading profiles: Some lessons learned, Saxena, Abhinav and Celaya, Jos{\'e} R and Roychoudhury, Indranil and Saha, Sankalita and Saha, Bhaskar and Goebel, Kai, Eur. Conf. Prognost. Health Manag. Soc, 2012
  8. Dynamic battery remaining useful life estimation: An on-line data-driven approach, Zhou, Jianbao and Liu, Datong and Peng, Yu and Peng, Xiyuan, Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International, 2196--2199, 2012
  9. Model adaptation for prognostics in a particle filtering framework, Saha, Bhaskar and Goebel, Kai, International Journal of Prognostics and Health Management, Vol. 2 No. 1, 10, 2011
  10. Study on impedance model of Li-ion battery, Luo, Weilin and Lv, Chao and Wang, Lixin and Liu, Chao, Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on, 1943--1947, 2011
  11. An integrated health and contingency management case study on an autonomous ground robot, Tang, Liang and Zhang, Bin and DeCastro, Jonathan and Hettler, Eric, Control and Automation (ICCA), 2011 9th IEEE International Conference on, 584--589, 2011
  12. Transient behavior modeling and physical meaning analysis for Battery, Xiangyang, Gao and Jun, Zhang and Ning, Ning, Computer Application and System Modeling (ICCASM), 2010 International Conference on, V2--383, 2010
  13. Comparison of prognostic algorithms for estimating remaining useful life of batteries, Saha, Bhaskar and Goebel, Kai and Christophersen, Jon, Transactions of the Institute of Measurement and Control, Vol. 31 No. Wed Mar 04 2015 00:00:00 GMT-0800 (PST), 293--308, 2009
  14. Prognostics methods for battery health monitoring using a Bayesian framework, Saha, Bhaskar and Goebel, Kai and Poll, Scott and Christophersen, Jon, Instrumentation and Measurement, IEEE Transactions on, Vol. 58 No. 2, 291--296, 2009
  15. Modeling Li-ion battery capacity depletion in a particle filtering framework, Saha, Bhaskar and Goebel, Kai, Proceedings of the annual conference of the prognostics and health management society, 2009


6. Turbofan Engine Degradation Simulation Data Set
Link to Dataset Page

  1. SW-ELM: A summation wavelet extreme learning machine algorithm with< i> a priori parameter initialization, Javed, Kamran and Gouriveau, Rafael and Zerhouni, Noureddine, Neurocomputing, Vol. 123, 299--307, 2014
  2. An integrated framework for online diagnostic and prognostic health monitoring using a multistate deterioration process, Moghaddass, Ramin and Zuo, Ming J, Reliability Engineering \& System Safety, Vol. 124, 92--104, 2014
  3. Multistate degradation and supervised estimation methods for a condition-monitored device, Moghaddass, Ramin and Zuo, Ming J, IIE Transactions, Vol. 46 No. 2, 131--148, 2014
  4. PHM-Oriented Integrated Fusion Prognostics for Aircraft Engines Based on Sensor Data, Xu, J. and Wang, Y. and Xu, L., Sensors Journal, IEEE, Vol. 14 No. 4, 1124-1132, April, 2014
  5. Ensemble neural network-based particle filtering for prognostics, Baraldi, Piero and Compare, Michele and Sauco, Sergio and Zio, Enrico, Mechanical Systems and Signal Processing, Vol. 41 No. 1, 288--300, 2013
  6. Increasing the Adoption of Prognostic Systems for Health Management in the Power Industry, Catterson, Victoria M and Costello, Jason JA and West, Graeme M and McArthur, Stephen DJ and Wallace, Christopher J, CHEMICAL ENGINEERING, Vol. 33, 2013
  7. Strategies to face imbalanced and unlabelled data in PHM applications., Gouriveau, Rafael and Ramasso, Emmanuel and Zerhouni, Noureddine and others, Chemical Engineering Transactions, Vol. 33, 115--120, 2013
  8. SW-ELM: A summation wavelet externe learning machine algorithm with a priori initialization., Javed, Kamran and Gouriveau, Rafael and Zerhouni, Noureddine and others, Neurocomputing/EEG Neurocomputing, 1--10, 2013
  9. Remaining useful life estimation based on stochastic deterioration models: A comparative study, Le Son, Khanh and Fouladirad, Mitra and Barros, Anne and Levrat, Eric and Iung, Beno{\^\i}t, Reliability Engineering \& System Safety, Vol. 112, 165--175, 2013
  10. Online probabilistic operational safety assessment of multi-mode engineering systems using Bayesian methods, Lin, Yufei and Chen, Maoyin and Zhou, Donghua, Reliability Engineering \& System Safety, Vol. 119, 150--157, 2013
  11. A data-level fusion model for developing composite health indices for degradation modeling and prognostic analysis, Liu, Kaibo and Gebraeel, Nagi Z and Shi, Jianjun, 2013
  12. Making use of partial knowledge about hidden states in HMMs: an approach based on belief functions., Ramasso, Emmanuel and Denoeux, Thierry and others, IEEE Transactions on Fuzzy Systems, 1--12, 2013
  13. Joint prediction of continuous and discrete states in time-series based on belief functions, Ramasso, Emmanuel and Rombaut, Mich{`e}le and Zerhouni, Noureddine, Cybernetics, IEEE Transactions on, Vol. 43 No. 1, 37--50, 2013
  14. A Robust Functional-Data-Analysis Method for Data Recovery in Multichannel Sensor Systems, Sun, J. and Liao, H. and Upadhyaya, B.R., Cybernetics, IEEE Transactions on, Vol. PP No. 99, Thu Jan 01 2015 00:00:00 GMT-0800 (PST), 2013
  15. Failure diagnosis using deep belief learning based health state classification, Tamilselvan, Prasanna and Wang, Pingfeng, Reliability Engineering \& System Safety, Vol. 115, 124--135, 2013
  16. A Framework of Similarity-Based Residual Life Prediction Approaches Using Degradation Histories With Failure, Preventive Maintenance, and Suspension Events, You, M-Y and Meng, Guang, 2013
  17. A nonlinear probabilistic method and contribution analysis for machine condition monitoring, Yu, Jianbo, Mechanical Systems and Signal Processing, Vol. 37 No. 1, 293--314, 2013
  18. Predictive Modeling of High-Bypass Turbofan Engine Deterioration, Brasco, Christina and Eklund, Neil and Shah, Mohak and Marthaler, Daniel, Annual Conference of the Prognostics and Health Management Society, 2013
  19. GFRBS-PHM: A Genetic Fuzzy Rule-Based System for PHM with Improved Interpretability, Ishibashi, Rog{\'e}rio and Lucio Nascimento Junior, Cairo, Prognostics and Health Management (PHM), 2013 IEEE Conference on, 1--7, 2013
  20. Novel failure prognostics approach with dynamic thresholds for machine degradation, Javed, Kamran and Gouriveau, Rafael and Zerhouni, Noureddine, Industrial Electronics Society, IECON 2013-39th Annual Conference of the IEEE, 4404--4409, 2013
  21. A Copula-based sampling method for data-driven prognostics and health management, Xi, Zhimin and Jing, Rong and Wang, Pingfeng and Hu, Chao, Prognostics and Health Management (PHM), 2013 IEEE Conference on, 1--10, 2013
  22. A Kalman Filter-Based Ensemble Approach With Application to Turbine Creep Prognostics, Baraldi, Piero and Mangili, Francesca and Zio, Enrico, Reliability, IEEE Transactions on, Vol. 61 No. 4, 966--977, 2012
  23. Connexionist-systems-based long term prediction approaches for prognostics, Gouriveau, Rafael and Zerhouni, Noureddine, Reliability, IEEE Transactions on, Vol. 61 No. 4, 909--920, 2012
  24. Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life, Hu, Chao and Youn, Byeng D and Wang, Pingfeng and Taek Yoon, Joung, Reliability Engineering \& System Safety, Vol. 103, 120--135, 2012
  25. Features selection procedure for prognostics: An approach based on predictability, Javed, Kamran and Gouriveau, Rafael and Zemouri, Ryad and Zerhouni, Noureddine and others, Supervision and Safety of Technical Processes., 25--30, 2012
  26. Application of a state space modeling technique to system prognostics based on a health index for condition-based maintenance, Sun, Jianzhong and Zuo, Hongfu and Wang, Wenbin and Pecht, Michael G, Mechanical Systems and Signal Processing, Vol. 28, 585--596, 2012
  27. A generic probabilistic framework for structural health prognostics and uncertainty management, Wang, Pingfeng and Youn, Byeng D and Hu, Chao, Mechanical Systems and Signal Processing, Vol. 28, 622--637, 2012
  28. Prognostics and health management of light emitting diodes, Thesis, Sutharssan, Thamotharampillai and others, University of Greenwich, 2012
  29. Decision fusion software system for turbine engine fault diagnostics, Al-Salah, Tulha Hasan and Zein-Sabatto, Saleh and Bodruzzaman, Mohammad, Southeastcon, 2012 Proceedings of IEEE, 1--6, 2012
  30. VRLA battery lifetime fingerprints-Part 1, Cotton, Bart, Telecommunications Energy Conference (INTELEC), 2012 IEEE 34th International, 1--8, 2012
  31. Major Challenges in Prognostics: Study on Benchmarking Prognostics Datasets, Eker, OF and Camci, F and Jennions, IK, European Conference of Prognostics and Health Management Society, 2012
  32. An Ensemble Approach for Robust Data-Driven Prognostics, Hu, Chao and Youn, Byeng D and Wang, Pingfeng and Yoon, Joung Taek, ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 333--347, 2012
  33. Remaining useful life estimation on the non-homogenous gamma with noise deterioration based on Gibbs filtering: A case study, Le Son, Khanh and Fouladirad, Mitra and Barros, Anne, Prognostics and Health Management (PHM), 2012 IEEE Conference on, 1--6, 2012
  34. A prognostic methodology for interconnected systems: preliminary results, Onori, Simona and Rizzoni, Giorgio and Cordoba-Arenas, Andrea, 8th IFAC International Symposium on Fault Detection, Supervision and Safety of Technical Processes, Mexico DF, Mexico, 2012
  35. Fatigue Crack Growth Prognostics by Particle Filtering and Ensemble Neural Networks, Paris, Centrale and Supelec, France, European Conference of Prognostics and Health Management Society 2012, 2012
  36. A modified echo state network based remaining useful life estimation approach, Peng, Yu and Wang, Hong and Wang, Jianmin and Liu, Datong and Peng, Xiyuan, Prognostics and Health Management (PHM), 2012 IEEE Conference on, 1--7, 2012
  37. Deep belief network based state classification for structural health diagnosis, Tamilselvan, Prasanna and Wang, Yibin and Wang, Pingfeng, Aerospace Conference, 2012 IEEE, 1--11, 2012
  38. Sensor Selection with Grey Correlation Analysis for Remaining Useful Life Evaluation, Yu, Peng and Yong, Xu and Datong, Liu and Xiyuan, Peng, Annual Conference of Prognostics and Health Management Society, 2012
  39. Partially-Hidden Markov Models, Ramasso, Emmanuel and Den{\oe}ux, Thierry and Zerhouni, Noureddine, Belief Functions: Theory and Applications, 359--366, 2012
  40. Prognostic by classification of predictions combining similarity-based estimation and belief functions, Ramasso, Emmanuel and Rombaut, Mich{`e}le and Zerhouni, Noureddine, Belief Functions: Theory and Applications, 61--68, 2012
  41. Applying the General Path Model to Estimation of Remaining Useful Life, Coble, Jamie and Hines, J Wesley, International Journal of Prognostics and Health Management, Vol. 2 No. 1, 72--84, 2011
  42. Reducing arbitrary choices in model building for prognostics: An approach by applying parsimony principle on an evolving neuro-fuzzy system, El-Koujok, Mohamed and Gouriveau, Rafael and Zerhouni, Noureddine, Microelectronics reliability, Vol. 51 No. 2, 310--320, 2011
  43. Advances in system reliability-based design and prognostics and health management (PHM) for system resilience analysis and design, Hu, Chao, 2011
  44. Nonparametric and Semi-Parametric Sensor Recovery in Multichannel Condition Monitoring Systems, Liao, Haitao and Sun, Jian, Automation Science and Engineering, IEEE Transactions on, Vol. 8 No. 4, 744--753, 2011
  45. Data-driven fault detection in aircraft engines with noisy sensor measurements, Sarkar, Soumik and Jin, Xin and Ray, Asok, Journal of Engineering for Gas Turbines and Power, Vol. 133 No. 8, 81602, 2011
  46. E2GK-pro: An evidential evolving multimodeling approach for systems behavior prediction., Serir, Lisa and Ramasso, Emmanuel and Zerhouni, Noureddine and others, Prognostics and Health Management Society, 2011., 85--93, 2011
  47. Resilience-Driven System Design of Complex Engineered Systems, Youn, Byeng D and Hu, Chao and Wang, Pingfeng, Journal of Mechanical Design, Vol. 133 No. 10, 101011, 2011
  48. Long term prediction approaches based on connexionist systems-A study for prognostics application, Gauvain, M-D and Gouriveau, Rafael and Zerhouni, Noureddine and Hessabi, Mike, Prognostics and Health Management (PHM), 2011 IEEE Conference on, 1--8, 2011
  49. Hidden Markov Model for Health Estimation and Prognosis of Turbofan Engines, Giantomassi, Andrea and Ferracuti, Francesco and Benini, Alessandro and Ippoliti, Gianluca and Longhi, Sauro and Petrucci, Antonio, ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 681--689, 2011
  50. Sensor recovery for robust multivariate condition monitoring, Liao, Haitao and Sun, Jian, Reliability and Maintainability Symposium (RAMS), 2011 Proceedings-Annual, 1--7, 2011
  51. Time-sliced temporal evidential networks: the case of evidential HMM with application to dynamical system analysis, Serir, Lisa and Ramasso, Emmanuel and Zerhouni, Noureddine, Prognostics and Health Management (PHM), 2011 IEEE Conference on, 1--10, 2011
  52. Data analysis techniques for real-time prognostics and health management of semiconductor devices, Sutharssan, Thamo and Stoyanov, Stoyan and Bailey, Chris and Rosunally, Yasmine, Microelectronics and Packaging Conference (EMPC), 2011 18th European, 1--7, 2011
  53. Classification with imperfect labels for fault prediction, Xue, Ya and Williams, David P and Qiu, Hai, Proceedings of the First International Workshop on Data Mining for Service and Maintenance, 12--16, 2011
  54. Towards Enhanced Prognostics with Advanced Data-Driven Modelling, Zaidan, Martha Arbayani and Mills, Andy R and Harrison, Robert F, Proceedings of The Eighth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, 2011
  55. Comparison of data reduction techniques based on SVM classifier and SVR performance, Zhao, Dave and Georgescu, Ramona and Willett, Peter, SPIE Optical Engineering+ Applications, 81370X--81370X, 2011
  56. Merging data sources to predict remaining useful life--an automated method to identify prognostic parameters, Coble, Jamie Baalis, 2010
  57. Towards accurate and reproducible predictions for prognostic: an approach combining a RRBF Network and an AutoRegressive Model., Zemouri, Ryad and Gouriveau, Rafael and others, Advanced Maintenance Engineering, Services and Technology, A-MEST'10., 163--168, 2010
  58. Comparison of data reduction techniques based on the performance of SVM-type classifiers, Georgescu, Ramona and Berger, Christian R and Willett, Peter and Azam, Mohammad and Ghoshal, Sudipto, Aerospace Conference, 2010 IEEE, 1--9, 2010
  59. From real data to remaining useful life estimation: an approach combining neuro-fuzzy predictions and evidential Markovian classifications., Gouriveau, Rafael and Ramasso, Emmanuel and others, 38th ESReDA Seminar Advanced Maintenance Modelling., 2010
  60. Ensemble of data-driven prognostic algorithms with weight optimization and k-fold cross validation, Hu, Chao and Youn, Byeng D and Wang, Pingfeng, ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 1023--1032, 2010
  61. Study of ensemble learning-based fusion prognostics, Jianzhong, Sun and Hongfu, Zuo and Haibin, Yang and Pecht, M, Prognostics and Health Management Conference, 2010. PHM'10., 1--7, 2010
  62. Prognostics in switching systems: Evidential Markovian classification of real-time neuro-fuzzy predictions, Ramasso, Emmanuel and Gouriveau, Rafael, Prognostics and Health Management Conference, 2010. PHM'10., 1--10, 2010
  63. Evidential Markovian classification of real-time neuro-fuzzy predictions., Ramasso, Emmanuel and Gouriveau, Rafael and others, IEEE Prognostics \& Systems Health Management Conference, PHM'2010., 2010
  64. Study on the prediction of Remaining Useful Life of large equipment based on the similarity metric of Health Index, Wang, Bo and Zhang, Li and He, Xuliang, Mechanic Automation and Control Engineering (MACE), 2010 International Conference on, 2255--2258, 2010
  65. Towards a framework for evaluating and comparing diagnosis algorithms, Kurtoglu, Tolga and Narasimhan, Sriram and Poll, Scott and Garcia, David and Kuhn, Lukas and de Kleer, Johan and van Gemund, Arjan and Feldman, Alexander, Proceedings of the 20th International Workshop on Principles of Diagnosis (DX-09), 373--382, 2009
  66. Metrics, models, and scenarios for evaluating PHM effects on logistics support, Luna, Joel J, Annual Conference of the Prognostics and Health Management Society 2009, 2009
  67. Contribution of belief functions to hidden markov models with an application to fault diagnosis., Ramasso, Emmanuel, Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing., 1--6, 2009
  68. Damage propagation modeling for aircraft engine run-to-failure simulation, Saxena, Abhinav and Goebel, Kai and Simon, Don and Eklund, Neil, Prognostics and Health Management, 2008. PHM 2008. International Conference on, 1--9, 2008


7. PHM08 Challenge Data Set
Link to Dataset Page

  1. SW-ELM: A summation wavelet extreme learning machine algorithm with< i> a priori parameter initialization, Javed, Kamran and Gouriveau, Rafael and Zerhouni, Noureddine, Neurocomputing, Vol. 123, 299--307, 2014
  2. An integrated framework for online diagnostic and prognostic health monitoring using a multistate deterioration process, Moghaddass, Ramin and Zuo, Ming J, Reliability Engineering \& System Safety, Vol. 124, 92--104, 2014
  3. Multistate degradation and supervised estimation methods for a condition-monitored device, Moghaddass, Ramin and Zuo, Ming J, IIE Transactions, Vol. 46 No. 2, 131--148, 2014
  4. PHM-Oriented Integrated Fusion Prognostics for Aircraft Engines Based on Sensor Data, Xu, J. and Wang, Y. and Xu, L., Sensors Journal, IEEE, Vol. 14 No. 4, 1124-1132, April, 2014
  5. Ensemble neural network-based particle filtering for prognostics, Baraldi, Piero and Compare, Michele and Sauco, Sergio and Zio, Enrico, Mechanical Systems and Signal Processing, Vol. 41 No. 1, 288--300, 2013
  6. Increasing the Adoption of Prognostic Systems for Health Management in the Power Industry, Catterson, Victoria M and Costello, Jason JA and West, Graeme M and McArthur, Stephen DJ and Wallace, Christopher J, CHEMICAL ENGINEERING, Vol. 33, 2013
  7. SW-ELM: A summation wavelet externe learning machine algorithm with a priori initialization., Javed, Kamran and Gouriveau, Rafael and Zerhouni, Noureddine and others, Neurocomputing/EEG Neurocomputing, 1--10, 2013
  8. Remaining useful life estimation based on stochastic deterioration models: A comparative study, Le Son, Khanh and Fouladirad, Mitra and Barros, Anne and Levrat, Eric and Iung, Beno{\^\i}t, Reliability Engineering \& System Safety, Vol. 112, 165--175, 2013
  9. A data-level fusion model for developing composite health indices for degradation modeling and prognostic analysis, Liu, Kaibo and Gebraeel, Nagi Z and Shi, Jianjun, 2013
  10. Making use of partial knowledge about hidden states in HMMs: an approach based on belief functions., Ramasso, Emmanuel and Denoeux, Thierry and others, IEEE Transactions on Fuzzy Systems, 1--12, 2013
  11. Joint prediction of continuous and discrete states in time-series based on belief functions, Ramasso, Emmanuel and Rombaut, Mich{`e}le and Zerhouni, Noureddine, Cybernetics, IEEE Transactions on, Vol. 43 No. 1, 37--50, 2013
  12. A Robust Functional-Data-Analysis Method for Data Recovery in Multichannel Sensor Systems, Sun, J. and Liao, H. and Upadhyaya, B.R., Cybernetics, IEEE Transactions on, Vol. PP No. 99, Thu Jan 01 2015 00:00:00 GMT-0800 (PST), 2013
  13. Failure diagnosis using deep belief learning based health state classification, Tamilselvan, Prasanna and Wang, Pingfeng, Reliability Engineering \& System Safety, Vol. 115, 124--135, 2013
  14. A Framework of Similarity-Based Residual Life Prediction Approaches Using Degradation Histories With Failure, Preventive Maintenance, and Suspension Events, You, M-Y and Meng, Guang, 2013
  15. A nonlinear probabilistic method and contribution analysis for machine condition monitoring, Yu, Jianbo, Mechanical Systems and Signal Processing, Vol. 37 No. 1, 293--314, 2013
  16. Predictive Modeling of High-Bypass Turbofan Engine Deterioration, Brasco, Christina and Eklund, Neil and Shah, Mohak and Marthaler, Daniel, Annual Conference of the Prognostics and Health Management Society, 2013
  17. GFRBS-PHM: A Genetic Fuzzy Rule-Based System for PHM with Improved Interpretability, Ishibashi, Rog{\'e}rio and Lucio Nascimento Junior, Cairo, Prognostics and Health Management (PHM), 2013 IEEE Conference on, 1--7, 2013
  18. Novel failure prognostics approach with dynamic thresholds for machine degradation, Javed, Kamran and Gouriveau, Rafael and Zerhouni, Noureddine, Industrial Electronics Society, IECON 2013-39th Annual Conference of the IEEE, 4404--4409, 2013
  19. A Copula-based sampling method for data-driven prognostics and health management, Xi, Zhimin and Jing, Rong and Wang, Pingfeng and Hu, Chao, Prognostics and Health Management (PHM), 2013 IEEE Conference on, 1--10, 2013
  20. A Kalman Filter-Based Ensemble Approach With Application to Turbine Creep Prognostics, Baraldi, Piero and Mangili, Francesca and Zio, Enrico, Reliability, IEEE Transactions on, Vol. 61 No. 4, 966--977, 2012
  21. Connexionist-systems-based long term prediction approaches for prognostics, Gouriveau, Rafael and Zerhouni, Noureddine, Reliability, IEEE Transactions on, Vol. 61 No. 4, 909--920, 2012
  22. Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life, Hu, Chao and Youn, Byeng D and Wang, Pingfeng and Taek Yoon, Joung, Reliability Engineering \& System Safety, Vol. 103, 120--135, 2012
  23. Features selection procedure for prognostics: An approach based on predictability, Javed, Kamran and Gouriveau, Rafael and Zemouri, Ryad and Zerhouni, Noureddine and others, Supervision and Safety of Technical Processes., 25--30, 2012
  24. Application of a state space modeling technique to system prognostics based on a health index for condition-based maintenance, Sun, Jianzhong and Zuo, Hongfu and Wang, Wenbin and Pecht, Michael G, Mechanical Systems and Signal Processing, Vol. 28, 585--596, 2012
  25. A generic probabilistic framework for structural health prognostics and uncertainty management, Wang, Pingfeng and Youn, Byeng D and Hu, Chao, Mechanical Systems and Signal Processing, Vol. 28, 622--637, 2012
  26. Prognostics and health management of light emitting diodes, Thesis, Sutharssan, Thamotharampillai and others, University of Greenwich, 2012
  27. Decision fusion software system for turbine engine fault diagnostics, Al-Salah, Tulha Hasan and Zein-Sabatto, Saleh and Bodruzzaman, Mohammad, Southeastcon, 2012 Proceedings of IEEE, 1--6, 2012
  28. VRLA battery lifetime fingerprints-Part 1, Cotton, Bart, Telecommunications Energy Conference (INTELEC), 2012 IEEE 34th International, 1--8, 2012
  29. Major Challenges in Prognostics: Study on Benchmarking Prognostics Datasets, Eker, OF and Camci, F and Jennions, IK, European Conference of Prognostics and Health Management Society, 2012
  30. An Ensemble Approach for Robust Data-Driven Prognostics, Hu, Chao and Youn, Byeng D and Wang, Pingfeng and Yoon, Joung Taek, ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 333--347, 2012
  31. Remaining useful life estimation on the non-homogenous gamma with noise deterioration based on Gibbs filtering: A case study, Le Son, Khanh and Fouladirad, Mitra and Barros, Anne, Prognostics and Health Management (PHM), 2012 IEEE Conference on, 1--6, 2012
  32. A prognostic methodology for interconnected systems: preliminary results, Onori, Simona and Rizzoni, Giorgio and Cordoba-Arenas, Andrea, 8th IFAC International Symposium on Fault Detection, Supervision and Safety of Technical Processes, Mexico DF, Mexico, 2012
  33. Fatigue Crack Growth Prognostics by Particle Filtering and Ensemble Neural Networks, Paris, Centrale and Supelec, France, European Conference of Prognostics and Health Management Society 2012, 2012
  34. Deep belief network based state classification for structural health diagnosis, Tamilselvan, Prasanna and Wang, Yibin and Wang, Pingfeng, Aerospace Conference, 2012 IEEE, 1--11, 2012
  35. Partially-Hidden Markov Models, Ramasso, Emmanuel and Den{\oe}ux, Thierry and Zerhouni, Noureddine, Belief Functions: Theory and Applications, 359--366, 2012
  36. Prognostic by classification of predictions combining similarity-based estimation and belief functions, Ramasso, Emmanuel and Rombaut, Mich{`e}le and Zerhouni, Noureddine, Belief Functions: Theory and Applications, 61--68, 2012
  37. Applying the General Path Model to Estimation of Remaining Useful Life, Coble, Jamie and Hines, J Wesley, International Journal of Prognostics and Health Management, Vol. 2 No. 1, 72--84, 2011
  38. Reducing arbitrary choices in model building for prognostics: An approach by applying parsimony principle on an evolving neuro-fuzzy system, El-Koujok, Mohamed and Gouriveau, Rafael and Zerhouni, Noureddine, Microelectronics reliability, Vol. 51 No. 2, 310--320, 2011
  39. Advances in system reliability-based design and prognostics and health management (PHM) for system resilience analysis and design, Hu, Chao, 2011
  40. Nonparametric and Semi-Parametric Sensor Recovery in Multichannel Condition Monitoring Systems, Liao, Haitao and Sun, Jian, Automation Science and Engineering, IEEE Transactions on, Vol. 8 No. 4, 744--753, 2011
  41. Data-driven fault detection in aircraft engines with noisy sensor measurements, Sarkar, Soumik and Jin, Xin and Ray, Asok, Journal of Engineering for Gas Turbines and Power, Vol. 133 No. 8, 81602, 2011
  42. E2GK-pro: An evidential evolving multimodeling approach for systems behavior prediction., Serir, Lisa and Ramasso, Emmanuel and Zerhouni, Noureddine and others, Prognostics and Health Management Society, 2011., 85--93, 2011
  43. Resilience-Driven System Design of Complex Engineered Systems, Youn, Byeng D and Hu, Chao and Wang, Pingfeng, Journal of Mechanical Design, Vol. 133 No. 10, 101011, 2011
  44. A study on remaining useful life prediction for prognostic applications, Thesis, Liu, Gang, University of New Orleans Theses and Dissertations, 2011
  45. Long term prediction approaches based on connexionist systems-A study for prognostics application, Gauvain, M-D and Gouriveau, Rafael and Zerhouni, Noureddine and Hessabi, Mike, Prognostics and Health Management (PHM), 2011 IEEE Conference on, 1--8, 2011
  46. Hidden Markov Model for Health Estimation and Prognosis of Turbofan Engines, Giantomassi, Andrea and Ferracuti, Francesco and Benini, Alessandro and Ippoliti, Gianluca and Longhi, Sauro and Petrucci, Antonio, ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 681--689, 2011
  47. Time-sliced temporal evidential networks: the case of evidential HMM with application to dynamical system analysis, Serir, Lisa and Ramasso, Emmanuel and Zerhouni, Noureddine, Prognostics and Health Management (PHM), 2011 IEEE Conference on, 1--10, 2011
  48. Data analysis techniques for real-time prognostics and health management of semiconductor devices, Sutharssan, Thamo and Stoyanov, Stoyan and Bailey, Chris and Rosunally, Yasmine, Microelectronics and Packaging Conference (EMPC), 2011 18th European, 1--7, 2011
  49. Classification with imperfect labels for fault prediction, Xue, Ya and Williams, David P and Qiu, Hai, Proceedings of the First International Workshop on Data Mining for Service and Maintenance, 12--16, 2011
  50. Towards Enhanced Prognostics with Advanced Data-Driven Modelling, Zaidan, Martha Arbayani and Mills, Andy R and Harrison, Robert F, Proceedings of The Eighth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, 2011
  51. Comparison of data reduction techniques based on SVM classifier and SVR performance, Zhao, Dave and Georgescu, Ramona and Willett, Peter, SPIE Optical Engineering+ Applications, 81370X--81370X, 2011
  52. Merging data sources to predict remaining useful life--an automated method to identify prognostic parameters, Coble, Jamie Baalis, 2010
  53. Towards accurate and reproducible predictions for prognostic: an approach combining a RRBF Network and an AutoRegressive Model., Zemouri, Ryad and Gouriveau, Rafael and others, Advanced Maintenance Engineering, Services and Technology, A-MEST'10., 163--168, 2010
  54. Comparison of data reduction techniques based on the performance of SVM-type classifiers, Georgescu, Ramona and Berger, Christian R and Willett, Peter and Azam, Mohammad and Ghoshal, Sudipto, Aerospace Conference, 2010 IEEE, 1--9, 2010
  55. From real data to remaining useful life estimation: an approach combining neuro-fuzzy predictions and evidential Markovian classifications., Gouriveau, Rafael and Ramasso, Emmanuel and others, 38th ESReDA Seminar Advanced Maintenance Modelling., 2010
  56. Ensemble of data-driven prognostic algorithms with weight optimization and k-fold cross validation, Hu, Chao and Youn, Byeng D and Wang, Pingfeng, ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 1023--1032, 2010
  57. Study of ensemble learning-based fusion prognostics, Jianzhong, Sun and Hongfu, Zuo and Haibin, Yang and Pecht, M, Prognostics and Health Management Conference, 2010. PHM'10., 1--7, 2010
  58. Prognostics in switching systems: Evidential Markovian classification of real-time neuro-fuzzy predictions, Ramasso, Emmanuel and Gouriveau, Rafael, Prognostics and Health Management Conference, 2010. PHM'10., 1--10, 2010
  59. Evidential Markovian classification of real-time neuro-fuzzy predictions., Ramasso, Emmanuel and Gouriveau, Rafael and others, IEEE Prognostics \& Systems Health Management Conference, PHM'2010., 2010
  60. Study on the prediction of Remaining Useful Life of large equipment based on the similarity metric of Health Index, Wang, Bo and Zhang, Li and He, Xuliang, Mechanic Automation and Control Engineering (MACE), 2010 International Conference on, 2255--2258, 2010
  61. Towards a framework for evaluating and comparing diagnosis algorithms, Kurtoglu, Tolga and Narasimhan, Sriram and Poll, Scott and Garcia, David and Kuhn, Lukas and de Kleer, Johan and van Gemund, Arjan and Feldman, Alexander, Proceedings of the 20th International Workshop on Principles of Diagnosis (DX-09), 373--382, 2009
  62. Metrics, models, and scenarios for evaluating PHM effects on logistics support, Luna, Joel J, Annual Conference of the Prognostics and Health Management Society 2009, 2009
  63. Contribution of belief functions to hidden markov models with an application to fault diagnosis., Ramasso, Emmanuel, Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing., 1--6, 2009
  64. Recurrent neural networks for remaining useful life estimation, Heimes, FO, Prognostics and Health Management, 2008. PHM 2008. International Conference on, 1--6, 2008
  65. Data driven prognostics using a Kalman filter ensemble of neural network models, Peel, Leto, Prognostics and Health Management, 2008. PHM 2008. International Conference on, 1--6, 2008
  66. A similarity-based prognostics approach for remaining useful life estimation of engineered systems, Wang, Tianyi and Yu, Jianbo and Siegel, David and Lee, Jay, Prognostics and Health Management, 2008. PHM 2008. International Conference on, 1--6, 2008


8. IGBT Accelerated Aging Sata Set
Link to Dataset Page

  1. Major Challenges in Prognostics: Study on Benchmarking Prognostics Datasets, Eker, OF and Camci, F and Jennions, IK, European Conference of Prognostics and Health Management Society, 2012
  2. An agile accelerated aging, characterization and scenario simulation system for gate controlled power transistors, Sonnenfeld, Greg and Goebel, Kai and Celaya, Jose R, AUTOTESTCON, 2008 IEEE, 208--215, 2008


9. Trebuchet Data Set
Link to Dataset Page

No Publications


10. FEMTO Bearing Data Set
Link to Dataset Page

  1. Nonparametric time series modelling for industrial prognostics and health management, Mosallam, Ahmed and Medjaher, Kamal and Zerhouni, Noureddine, The International Journal of Advanced Manufacturing Technology, Vol. 69 No. Fri May 08 2015 00:00:00 GMT-0700 (PDT), 1685--1699, 2013
  2. Rolling bearing reliability estimation based on logistic regression model, Li, Hongkun and Wang, Yinhu, Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on, 1730--1733, 2013
  3. Bearings prognostic using Mixture of Gaussians Hidden Markov Model and Support Vector Machine, Sloukia, F and Aroussi, M El and Medromi, Hicham and Wahbi, Mohammed, Computer Systems and Applications (AICCSA), 2013 ACS International Conference on, 1--4, 2013


11. Randomized Battery Usage Data Set
Link to Dataset Page

  1. Adaptation of an Electrochemistry-based Li-Ion Battery Model to Account for Deterioration Observed Under Randomized Use, Bole, B. and Kulkarni, C. and Daigle, M., Annual Conference of the Prognostics and Health Management Society, 2014


12. Capacitor Electrical Stress Data Set
Link to Dataset Page

  1. Analysis of Electrolytic Capacitor Degradation under Electrical Overstress for Prognostic Studies, Renwick J., and Kulkarni C. and Celaya J., Annual Conference of the Prognostics and Health Management Society, 2015


back to top

First Gov logo
NASA Logo - nasa.gov