A collaborative data library for testing prognostic models

J.Z. Z. Sikorska, Melinda J. Hodkiewicz, Ashwin D. D'Cruz, Lachlan C. Astfalck, Adrian Keating

Research output: Chapter in Book/Conference paperConference paper

Abstract

A web-based data management system for use by researchers
and industry around the world to access suitable datasets for
testing prognostic models is developed. The value of the
project is in the provision of, and access to, real-world data
for asset failure prediction work. In practice, it is difficult for
researchers to obtain data from industrial equipment.
Industry datasets are rarely shared and hardly ever published.
When such data is made available, very little meta-data about
the underlying asset is provided. This restricts the number
and type of models that can be applied.
The solution is a data management system for three groups:
researchers needing datasets, industry and academics with
datasets. This paper identifies the data being sought, the
system requirements and architecture, and discusses how the
design is being implemented using an Agile development
approach. Crucially, meta-data is stored in the database and
accessed using a secure web-based front-end so as to
maximize the available information, whilst obfuscating any
corporate-sensitive material. The success of this prognostics
data library depends on the support of the prognostic
community to contribute and use the data; similar projects
have been successful in the Machine Learning and Big Data
communities.
Original languageEnglish
Title of host publicationEUROPEAN CONFERENCE OF THE PROGNOSTICS AND HEALTH MANAGEMENT SOCIETY 2016
EditorsBenoit Lung, Bin Zhang
PublisherPrognostics and Health Management Society
Number of pages11
ISBN (Print)2325016X
Publication statusPublished - 2016
EventThird european conference of the prognostics and health management society 2016 - Bilbao, Spain
Duration: 5 Jul 20168 Jul 2016

Conference

ConferenceThird european conference of the prognostics and health management society 2016
CountrySpain
CityBilbao
Period5/07/168/07/16

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