A Review of the Role of Prognostics in Predicting the Remaining Useful Life of Assets

Darius V. Roman, Ross W. Dickie, David Flynn, Valentin Robu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)
142 Downloads (Pure)


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
EditorsMarko Čepin, Radim Briš
PublisherCRC Press
Number of pages8
ISBN (Electronic)9781315210469
ISBN (Print)9781138629370
Publication statusPublished - 2017
Event27th European Safety and Reliability Conference 2017 - Slovenia, Portoroz, Slovenia
Duration: 18 Jun 201722 Jun 2017


Conference27th European Safety and Reliability Conference 2017
Abbreviated titleESREL 2017
Internet address


  • prognostics
  • Prognostic and health management (PHM)
  • Battery PHM
  • Subsea cables
  • data analysis
  • physics-based modelling


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