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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.

    Data Sets

  1. Algae Raceway Data Set Experiments 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. Please cite: Brad Bebout, Leslie Profert-Bebout, Erich Fleming, Angela Detweiler, Kai Goebel "Algae Raceway Dataset" NASA Ames Prognostics Data Repository, [http://ti.arc.nasa.gov/project/prognostic-data-repository], NASA Ames, Moffett Field, CA.
    Download algae.zip (193 downloads)
    Publications using this data set
  2. CFRP Composites Data Set Run-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. Dataset 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. Please cite: Abhinav Saxena, Kai Goebel, Cecilia C. Larrosa, and Fu-Kuo Chang, “CFRP Composites dataset”, NASA Ames Prognostics Data Repository, [http://ti.arc.nasa.gov/project/prognostic-data-repository], NASA Ames, Moffett Field, CA.
    Download Layup1 Data (235 downloads)
    Download Layup2 Data (150 downloads)
    Download Layup3 Data (152 downloads)
    Publications using this data set
  3. Milling data set Experiments 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. The set is in .mat format and has been zipped. Please cite: "A. Agogino and K. Goebel (2007). 'Mill Data Set', BEST lab, UC Berkeley. NASA Ames Prognostics Data Repository, [http://ti.arc.nasa.gov/project/prognostic-data-repository], NASA Ames, Moffett Field, CA."
    + Download mill data set (3627 downloads)
    Publications using this data set
  4. Bearing data set Experiments on bearings. The data set was provided by the Center for Intelligent Maintenance Systems (IMS), University of Cincinnati. The set is in text format and has been rared, then zipped. Please cite: "J. Lee, H. Qiu, G. Yu, J. Lin, and Rexnord Technical Services (2007). 'Bearing Data Set', IMS, University of Cincinnati. NASA Ames Prognostics Data Repository, [http://ti.arc.nasa.gov/project/prognostic-data-repository], NASA Ames, Moffett Field, CA."
    + Download bearing data set (4387 downloads)
    Publications using this data set
  5. Battery data set Experiments 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. The set is in .mat format and has been zipped. Please cite: "B. Saha and K. Goebel (2007). "Battery Data Set", NASA Ames Prognostics Data Repository, [http://ti.arc.nasa.gov/project/prognostic-data-repository], NASA Ames, Moffett Field, CA".
    + Download battery data set (3639 downloads)
    + Download battery data set 2 (3184 downloads)
    + Download battery data set 3 (3876 downloads)
    + Download battery data set 4 (1682 downloads)
    + Download battery data set 5 (1513 downloads)
    + Download battery data set 6 (2107 downloads)
    Publications using this data set
  6. Turbofan engine degradation simulation data set Engine 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. The set is in text format and has been zipped including a readme file. Please cite: "A. Saxena and K. Goebel (2008). "C-MAPSS Data Set", NASA Ames Prognostics Data Repository, [http://ti.arc.nasa.gov/project/prognostic-data-repository], NASA Ames, Moffett Field, CA.
    + Download C-MAPSS data set (7024 downloads)
    Publications using this data set
  7. PHM08 Challenge data set 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. The set is in text format and has been zipped including a readme file. Please cite: "A. 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, Moffett Field, CA.

    + Download PHM08 Challenge data set (1902 downloads)

    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.

    Publications using this data set
  8. IGBT accelerated aging data set

    Preliminary 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. The set is in Matlab and text format and has been compressed. Please cite: "J. Celaya, Phil Wysocki, and K. Goebel (2009), "IGBT accelerated aging data set", NASA Ames Prognostics Data Repository, [/tech/dash/pcoe/prognostic-data-repository/], NASA Ames, Moffett Field, CA.
    + Download IGBT aging data set Updated 04-02-2009 (2618 downloads)
    Publications using this data set

  9. Trebuchet data set

    Trajectories 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. Please cite: "B. Morton. 'Trebuchet Data Set', Sentient Corporation. NASA Ames Prognostics Data Repository, [/tech/dash/pcoe/prognostic-data-repository/], NASA Ames, Moffett Field, CA."
    + Download Sentient data set (3523 downloads)
    Publications using this data set

  10. FEMTO Bearing Data Set Experiments on bearings' accelerated life tests provided by FEMTO-ST Institute, Besançon, France. More information can be found here.
    Publication to cite: "P. 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"
    + Download FEMTO Bearing data set (4556 downloads )
    Publications using this data set


  11. NASA Prognostics Center of Excellence Data repository, 2007 - 2014, Version 1
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