A review of the role of prognostics in predicting the remaining useful life of assets

D. V. Roman, R. W. Dickie, D. Flynn, V. Robu

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

6 Citations (Scopus)

Abstract

In this research we present the state of the art in prognostics and health management, demonstrating opportunities and challenges in designing and implementing prognostic models via three case studies. The remaining useful life prediction for Li-ion batteries utilising data analysis is shown to be within 5% accuracy and in fusion prognostic instance 3-5% accuracy when applied to subsea cables. Empirical data gathered in electromagnetic relay lifecycle analysis demonstrated how low rate sampling can classify failure modes with abnormal resistance spikes representing a precursor, 1.5 million actuations, prior to failure. Results demonstrate that due to the agile nature of PHM models and their accuracy, PHM will be vital to resilient and sustainable complex systems.

Original languageEnglish
Title of host publicationSafety and Reliability – Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017
EditorsMarko Cepin, Radim Briš
PublisherCRC Press / Balkema - Taylor & Francis Group
Pages897-904
Number of pages8
ISBN (Print)9781138629370
DOIs
Publication statusPublished - 1 Jan 2017
Externally publishedYes
Event27th European Safety and Reliability Conference, ESREL 2017 - Portorož, Slovenia
Duration: 18 Jun 201722 Jun 2017

Publication series

NameSafety and Reliability - Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017

Conference

Conference27th European Safety and Reliability Conference, ESREL 2017
CountrySlovenia
CityPortorož
Period18/06/1722/06/17

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