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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. 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 (2747 downloads)
  2. 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 (3429 downloads)
  3. 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 (2805 downloads)
    + Download battery data set 2 (2417 downloads)
    + Download battery data set 3 (924 downloads)
    + Download battery data set 4 (821 downloads)
    + Download battery data set 5 (818 downloads)
    + Download battery data set 6 (874 downloads)
  4. 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 (6172 downloads)
  5. 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 (1460 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.

  6. 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 (2121 downloads)

  7. 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 (1386 downloads)

  8. 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 (460 downloads )
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