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Quantification of the value of condition monitoring system with time-varying monitoring performance in the context of risk-based inspection

机译:Quantification of the value of condition monitoring system with time-varying monitoring performance in the context of risk-based inspection

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摘要

Condition monitoring systems (CMSs) can be used to further reduce the expected value of life-cycle cost in the context of risk-based inspection (RBI) planning. However, the degradation of CMS monitoring performance and the utilization of historical data lead to the time-varying property of CMS monitoring performance, which would significantly affect the contributions of CMS. To facilitate risk analysis, a stochastic degradation model and Bayesian theorem are utilized to model the time-varying monitoring performance. Furthermore, a selection method of the CMS identification threshold is proposed to improve the CMS contributions to RBI planning further. To quantify the CMS contributions from a cost-effective perspective, this paper proposes an analytical framework on the value of CMS information analysis, which integrates condition-based maintenance action into RBI planning. In this framework, the importance of considering the time-varying performance of CMS can also be quantified by value of information (VoI) analysis. A case study of fatigue-induced degradation of a welded connection is used to clarify the proposed framework, in which the value of CMS information is quantified and the importance of considering time-varying monitoring performance is highlighted. Finally, the optimal implementation strategy regarding the CMS operation period is identified based on the VoI metric.

著录项

  • 来源
    《Reliability engineering & system safety》 |2023年第3期|108993.1-108993.18|共18页
  • 作者单位

    School of Civil Engineering, Harbin Institute of Technology, Harbin, China,Department of the Built Environment, Aalborg University, Aalborg, Denmark;

    State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China,Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, School of Naval Ar;

    School of Civil Engineering, Harbin Institute of Technology, Harbin, ChinaDepartment of the Built Environment, Aalborg University, Aalborg, Denmark;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 英语
  • 中图分类
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