Performance of Reliability Models for Repairable Systems: Dealing with Information Uncertainty

Blancke, Olivier; McCarthy, Gabriel; Payette, Mathieu; Bibeau, Lucie; Boudreau, Jean-François; Côté, Alain; Komljenović, Dragan; Souilah, Bannour

doi:10.1109/rams48030.2020.9153672

Cited by 2 publications

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, a failure mode analysis is used to determine the prevalent causes of failure in relation to the age of the assets. In [34], the author proposes a methodology to quantify the uncertainty related to data quality in the application of statistical tools to estimate reliability. A case study on electrical utility assets in Canada is presented, and the HPP and NHPP methods are used to test the approach.…”

Section: Survival Analysismentioning

confidence: 99%

Asset Management, Reliability and Prognostics Modeling Techniques

Payette

Abdul-Nour

2023

Sustainability

Self Cite

View full text Add to dashboard Cite

In recent years, reliability engineering has seen significant growth in data-driven modeling, mainly due to the democratization of sensing technologies, big data processing, and computing capabilities. It has also seen a paradigm shift, with Engineering of Asset Management (EAM) becoming widely accepted as a high-level framework to support corporate policies and strategies. The rapid evolution of research leads to the development of multiple research communities, making it difficult for the uninitiated to navigate the literature. Indeed, system reliability encompasses several research subfields that focus on maximizing the life cycle of assets, including Reliability, Availability, Maintainability, and Safety (RAMS), Prognostics and Health Management (PHM), and Engineering of Asset Management. This article proposes a review of these concepts with the aim of identifying the different scientific communities, what differentiates them, and what connects them. It also addresses RAMS and PHM modeling techniques and highlights the significance of these disciplines in ensuring the functioning of complex systems. In summary, this article aims to clarify the interrelationship between the topics of reliability engineering, to simplify the search and selection for modeling methods.

show abstract

Section: Survival Analysismentioning

confidence: 99%