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PCoE Datasets

Overview

The Prognostics Data Repository is a collection of data sets that have been donated by various universities, agencies, or companies. The data repository focuses exclusively on prognostic data sets, i.e., data sets that can be used for development of prognostic algorithms. Mostly these are time series of data from some nominal state to a failed state. The collection of data in this repository is an ongoing process.

Publications making use of databases obtained from this repository are requested to acknowledge both the assistance received by using this repository and the donators of the data. This will help others to obtain the same data sets and replicate your experiments. It also provides credit to the donators.

Users employ the data at their own risk. Neither NASA nor the donators of the data sets assume any liability for the use of the data or any system developed using the data.

If you have suggestions concerning the repository send email to kai.goebel [at] nasa.gov Thank you and please come again.

Datasets

  1. Algae Raceway Data Set

    DescriptionExperiments were conducted on 3 small raceways in which spirulina was inoculated. The growth and, ultimately, decline of the algae biomass was recorded along with a number of environmental parameters. Experiments were conducted by the Exobiology group at NASA Ames.
    Format
    Datasets+ Download Algae Raceway Data Set (832 downloads)
    Dataset CitationBrad Bebout, Leslie Profert-Bebout, Erich Fleming, Angela Detweiler, and Kai Goebel "Algae Raceway Data Set", NASA Ames Prognostics Data Repository (http://ti.arc.nasa.gov/project/prognostic-data-repository), NASA Ames Research Center, Moffett Field, CA
  2. CFRP Composites Data Set

    DescriptionRun-to-failure experiments were run on CFRP panels with periodic measurements to capture internal damage growth under tension-tension fatigue. Monitoring data consist of lamb wave signals from a network of 16 piezoelectric (PZT) sensors and multiple triaxial strain gages. Additionally, periodic x-rays were taken to characterize internal damage as ground truth information. Three different layups were tested. Experiments were conducted at Stanford Structures and Composites Laboratory (SACL) in collaboration with the Prognostic Center of Excellence (PCoE) of NASA Ames Research Center.
    FormatDataset is organized into three zipped folders each containing data from coupons of single layup type and includes a readme file, and a folder with reports and papers published from this dataset.
    Datasets+ Download CFRP Composites Data Set 1 (1570 downloads)
    + Download CFRP Composites Data Set 2 (690 downloads)
    + Download CFRP Composites Data Set 3 (662 downloads)
    Dataset CitationAbhinav Saxena, Kai Goebel, Cecilia C. Larrosa, and Fu-Kuo Chang "CFRP Composites Data Set", NASA Ames Prognostics Data Repository (http://ti.arc.nasa.gov/project/prognostic-data-repository), NASA Ames Research Center, Moffett Field, CA
  3. Milling Data Set

    DescriptionExperiments on a milling machine for different speeds, feeds, and depth of cut. Records the wear of the milling insert, VB. The data set was provided by the BEST lab at UC Berkeley.
    FormatThe set is in .mat format and has been zipped.
    Datasets+ Download Milling Data Set (4437 downloads)
    Dataset CitationA. Agogino and K. Goebel (2007). BEST lab, UC Berkeley. "Milling Data Set ", NASA Ames Prognostics Data Repository (http://ti.arc.nasa.gov/project/prognostic-data-repository), NASA Ames Research Center, Moffett Field, CA
  4. Bearing Data Set

    DescriptionExperiments on bearings. The data set was provided by the Center for Intelligent Maintenance Systems (IMS), University of Cincinnati.
    FormatThe set is in text format and has been rared, then zipped.
    Datasets+ Download Bearing Data Set (10071 downloads)
    Dataset CitationJ. Lee, H. Qiu, G. Yu, J. Lin, and Rexnord Technical Services (2007). IMS, University of Cincinnati. "Bearing Data Set", NASA Ames Prognostics Data Repository (http://ti.arc.nasa.gov/project/prognostic-data-repository), NASA Ames Research Center, Moffett Field, CA
  5. Battery Data Set

    DescriptionExperiments on Li-Ion batteries. Charging and discharging at different temperatures. Records the impedance as the damage criterion. The data set was provided by the Prognostics CoE at NASA Ames.
    FormatThe set is in .mat format and has been zipped.
    Datasets+ Download Battery Data Set 1 (5237 downloads)
    + Download Battery Data Set 2 (6244 downloads)
    + Download Battery Data Set 3 (4501 downloads)
    + Download Battery Data Set 4 (2232 downloads)
    + Download Battery Data Set 5 (2110 downloads)
    + Download Battery Data Set 6 (2826 downloads)
    Dataset CitationB. Saha and K. Goebel (2007). "Battery Data Set", NASA Ames Prognostics Data Repository (http://ti.arc.nasa.gov/project/prognostic-data-repository), NASA Ames Research Center, Moffett Field, CA
  6. Turbofan Engine Degradation Simulation Data Set

    DescriptionEngine degradation simulation was carried out using C-MAPSS. Four different were sets simulated under different combinations of operational conditions and fault modes. Records several sensor channels to characterize fault evolution. The data set was provided by the Prognostics CoE at NASA Ames.
    FormatThe set is in text format and has been zipped including a readme file.
    Datasets+ Download Turbofan Engine Degradation Simulation Data Set (8169 downloads)
    Dataset CitationA. Saxena and K. Goebel (2008). "Turbofan Engine Degradation Simulation Data Set", NASA Ames Prognostics Data Repository (http://ti.arc.nasa.gov/project/prognostic-data-repository), NASA Ames Research Center, Moffett Field, CA
  7. PHM08 Challenge Data Set

    DescriptionData from the data challenge competition held at the 1st international conference on Prognostics and Health Management (PHM08) is being made publicly available. The dataset is similar to the one posted above (see Turbofan engine degradation simulation data set) except the true RUL values are not revealed. Users are expected to develop their algorithms using training and test sets provided in the package. The data set was provided by the Prognostics CoE at NASA Ames.
    Evaluate your results on test data set using the link below.
    Upload file for analysis

    Note:
    - Results should be formatted as a column vector of RULs in a text file.
    - Evaluation is limited to only one trial per day.

    FormatThe set is in text format and has been zipped including a readme file.
    Datasets+ Download PHM08 Challenge Data Set (2816 downloads)
    Dataset CitationA. Saxena and K. Goebel (2008). "PHM08 Challenge Data Set", NASA Ames Prognostics Data Repository (http://ti.arc.nasa.gov/project/prognostic-data-repository), NASA Ames Research Center, Moffett Field, CA
  8. IGBT Accelerated Aging Sata Set

    DescriptionPreliminary data from thermal overstress accelerated aging using the aging and characterization system. The data set contains aging data from 6 devices, one device aged with DC gate bias and the rest aged with a squared signal gate bias. Several variables are recorded and in some cases, high-speed measurements of gate voltage, collector-emitter voltage and collector current are available. The data set is provided by the Prognostics CoE at NASA Ames.
    FormatThe set is in Matlab and text format and has been compressed.
    Datasets+ Download IGBT Accelerated Aging Sata Set (3369 downloads)
    Dataset CitationJ. Celaya, Phil Wysocki, and K. Goebel (2009) "IGBT Accelerated Aging Sata Set", NASA Ames Prognostics Data Repository (http://ti.arc.nasa.gov/project/prognostic-data-repository), NASA Ames Research Center, Moffett Field, CA
  9. Trebuchet Data Set

    DescriptionTrajectories of different types of balls launched from a trebuchet with varying counter weights. Flights were filmed and extraction routines calculated position of data. Both raw video data and extracted trajectories are provided. Geometry and physical properties of the trebuchet are available.
    Format
    Datasets+ Download Trebuchet Data Set (3975 downloads)
    Dataset CitationB. Morton. Sentient Corporation. "Trebuchet Data Set", NASA Ames Prognostics Data Repository (http://ti.arc.nasa.gov/project/prognostic-data-repository), NASA Ames Research Center, Moffett Field, CA
  10. FEMTO Bearing Data Set

    DescriptionExperiments on bearings' accelerated life tests provided by FEMTO-ST Institute, Besançon, France. More information can be found here.
    Format
    Datasets+ Download FEMTO Bearing Data Set (7306 downloads)
    Dataset Citation "FEMTO Bearing Data Set", NASA Ames Prognostics Data Repository (http://ti.arc.nasa.gov/project/prognostic-data-repository), NASA Ames Research Center, Moffett Field, CA
    Publication CitationP. Nectoux, R. Gouriveau, K. Medjaher, E. Ramasso, B. Morello, N. Zerhouni, C. Varnier. PRONOSTIA: An Experimental Platform for Bearings Accelerated Life Test. IEEE International Conference on Prognostics and Health Management, Denver, CO, USA, 2012
  11. Randomized Battery Usage Data Set

    DescriptionBatteries are continuously cycled with randomly generated current profiles. Reference charging and discharging cycles are also performed after a fixed interval of randomized usage in order to provide reference benchmarks for battery state of health.
    Format
    Datasets+ Download Randomized Battery Usage Data Set 1 (249 downloads)
    + Download Randomized Battery Usage Data Set 2 (198 downloads)
    + Download Randomized Battery Usage Data Set 3 (182 downloads)
    + Download Randomized Battery Usage Data Set 4 (193 downloads)
    + Download Randomized Battery Usage Data Set 5 (186 downloads)
    + Download Randomized Battery Usage Data Set 6 (186 downloads)
    + Download Randomized Battery Usage Data Set 7 (190 downloads)
    Dataset CitationB. Bole, C. Kulkarni, and M. Daigle "Randomized Battery Usage Data Set", NASA Ames Prognostics Data Repository (http://ti.arc.nasa.gov/project/prognostic-data-repository), NASA Ames Research Center, Moffett Field, CA
    Publication CitationB. Bole, C. Kulkarni, and M. Daigle, ‘Adaptation of an Electrochemistry-based Li-Ion Battery Model to Account for Deterioration Observed Under Randomized Use’, Annual Conference of the Prognostics and Health Management Society, 2014

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