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Open Source Data?!

(2 min. read)

Graph showing real-time data being monitored from industrial machines

It is very difficult to share datasets for condition based and predictive maintenance applications due to the commercial sensitivity of the data involved. We have published a number of datasets that we generated together with Flow Center of Excellence. Next to these there are some good resources available on the internet if you want to learn how to apply (advanced) analytics on data for a CBM/PdM project.

These Are Our Favourite Open Datasets:

1. UWA System Health Lab

The data sets provided by the System Health Lab of the Faculty of Engineering and Mathematical Sciences at the University of Western Australia. The faculty provides different datasets that can be used to learn how to apply classification and anomaly detection methods.

UWA open data analytics for predictive maintenance

The datasets are well described and after sign-on you get access.

UWA open data analytics for predictive maintenance

2. The Prognostics Data Repository of NASA

The data sets provided by Prognostics Data Repository is a collection of data sets that have been donated by various universities, agencies, or companies.

NASA open data analytics for predictive maintenance

Each of the datasets is individually described.

 

3. UCI Machine Learning Repository

The UCI Machine Learning Repository is a collection of databases, domain theories, and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms. The archive has been around for decades and you can find interesting data, for CBM/PdM, in the engineering data sets:

UCI Machine Learning Repository open data analytics for predictive maintenance
UCI Machine Learning Repository open data analytics for predictive maintenance

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