Metrics for evaluating the performance of complex engineering system health monitoring models

Austin D. Lewis and Katrina M. Groth

Reliability Engineering and System Safety, 2022, vol. 223, issue C

Abstract: Recent efforts to apply prognostics and health management (PHM) practices towards the risk management of complex engineering systems (CES) traditionally structured using probabilistic risk assessments (PRA) provide more opportunities for modeling and dynamically monitoring system-level heath. However, it is unclear what metrics should be used to assess and compare the performance of these models. PHM performance metrics center around prediction accuracy without considering operational realities of the system, while risk management models are not easily compared. A new set of model metrics is needed for this evolving space.

Keywords: Performance metrics; Diagnostics and prognostics; Complex engineering systems; Prognostics and health management; Risk management (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:223:y:2022:i:c:s0951832022001351

DOI: 10.1016/j.ress.2022.108473

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