About the Prognostics Data Library
The Prognostics Data Library is a web-based data management system for use by researchers and industry around the world to access suitable datasets for testing prognostic models. The PDL is primarily built for three groups: researchers needing datasets, industry and academics with datasets.
A crucial difference in the PDL over other databases is the emphasis on capturing meta-data about the asset and its maintenance and operating environments.
Ultimately, the aim of this Prognostics Data Library (PDL) is to collate and enable sharing of high quality datasets across the entire prognostics community.
For more information about the Prognostics Data Library please see our paper here.
The Prognostics Data Library aims to link the best modelling minds around the world
with the very best prognostic datasets collected from experimental equipment and real systems.
Why use the data library?
Academics with datasets
- Generate citations for your prior work.
- Benchmark your work against others using the same datasets
- Be recognised for sharing your data when applying for grants and promotions.
Industry with datasets
- Maintain corporate confidentiality.
- Allow top researchers to work on your data without significant additional expenditure to business.
- Find out when users have developed new and improved models for your datasets.
Researchers needing datasets
- Find quality datasets easily and quickly.
- Spend your time improving your models rather than collecting data.
- Downloading datasets is free.
- View the metadata and summary statistics prior to downloading a dataset.
- Benchmark your research against other modelling experts using the same datasets.
- Look at what issues prior users have had with the datasets.