Asset Management, Reliability and Prognostics Modeling Techniques

نویسندگان

چکیده

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 also a paradigm shift, with Engineering Asset Management (EAM) becoming widely accepted as high-level framework support corporate policies strategies. The rapid evolution research leads development multiple communities, making it difficult for uninitiated navigate literature. Indeed, system encompasses several subfields that focus on maximizing life cycle assets, including Reliability, Availability, Maintainability, Safety (RAMS), Prognostics Health (PHM), Management. This article proposes review these concepts aim identifying different scientific what differentiates them, connects them. addresses RAMS PHM modeling techniques highlights significance disciplines ensuring functioning complex systems. summary, this aims clarify interrelationship between topics engineering, simplify search selection methods.

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ژورنال

عنوان ژورنال: Sustainability

سال: 2023

ISSN: ['2071-1050']

DOI: https://doi.org/10.3390/su15097493