A historical survey of condition-based maintenance models with imperfect inspections: Cases of constant and non-constant probabilities of inspection outcomes

IF 9.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL Reliability Engineering & System Safety Pub Date : 2024-10-12 DOI:10.1016/j.ress.2024.110544

Vladimir Ulansky , Ahmed Raza

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Abstract

This article offers an extensive historical review of condition-based maintenance (CBM) models, focusing on the impact of imperfect inspections. It examines the progression and development of CBM models that incorporate both constant and non-constant probabilities of inspection outcomes. The review encompasses early foundational work, significant theoretical advancements, and practical applications across diverse industries. It investigates how different assumptions about inspection accuracy and failure detection impact CBM cost, system availability and operational reliability. Moreover, the article highlights methodological innovations that address the challenges posed by imperfect inspections, such as probabilistic modeling and optimization techniques. This survey aims to provide a thorough understanding of the complexities in CBM modeling and offers insights for future research to improve maintenance decision-making under inspection uncertainty.

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不完全检查的基于状态的维护模型的历史调查：检查结果概率恒定和非恒定的情况

本文对基于状态的维护（CBM）模型进行了广泛的历史回顾，重点关注不完善检查的影响。文章探讨了 CBM 模型的进展和发展，这些模型包含了检查结果的恒定和非恒定概率。回顾内容包括早期的基础工作、重要的理论进展以及不同行业的实际应用。文章研究了检查精度和故障检测的不同假设如何影响 CBM 成本、系统可用性和运行可靠性。此外，文章还重点介绍了应对不完善检测挑战的方法创新，如概率建模和优化技术。本调查旨在提供对建立信任措施建模复杂性的透彻理解，并为未来研究提供见解，以改进检查不确定性下的维护决策。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Reliability Engineering & System Safety 管理科学-工程：工业

CiteScore

15.20

自引率

39.50%

发文量

621

审稿时长

67 days

期刊介绍： Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.