A collection of publicly available datasets related to PHM and predictive maintenance. Some of these data sources may have an overlap with each other. Specially the Indistrial Datasets and the NASA data.
- Industrial Datasets
This is a repo that containts many pubilcally available datasets:
https://github.com/ShaunRBK/awesome-industrial-machine-datasets
- NASA PHM CoE
This is the PHM center of excellence at NASA with a large number of different datasets:
https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/
- NIST Engineering Laboratory
This is from NIST and includes a couple of datasets:
https://www.nist.gov/el/enhancing-maintenance-strategies-manufacturing-operations/data-sets
- Bearing Fault data
This is a dataset from Case Western Reserve University. It's a single dataset of bearing failures:
https://engineering.case.edu/bearingdatacenter
- Robot Execution Failure Data set
This dataset is from UC Irvine Machine Learning Lab and contains force and torque measurements on a robot after failure detection. Each failure is characterized by 15 force/torque samples collected at regular time intervals
http://archive.ics.uci.edu/ml/datasets/Robot+Execution+Failures