A novel framework for the reliability modelling of repairable multistate complex mechanical systems considering propagation relationships. (5th September 2018)

• Record Type: Journal Article
• Authors: Gao, Xu; Wang, Rongxi; Gao, Jianmin; Gao, Zhiyong; Deng, Wei
• Is Part Of: Quality and reliability engineering international. Volume 35:Number 1(2019)
• Page Start: 84
• Page End: 98
• Publication Date: 2018-09-05
• Subjects: degraded mechanism of reliability -- propagation relationships -- reliability analysis -- reliability modelling -- repairable multistate complex mechanical systems; Reliability (Engineering) -- Periodicals; Quality control -- Periodicals; High technology -- Periodicals; 620.00452
• DOI: 10.1002/qre.2382
• Languages: English
• ISSNs: 0748-8017

Abstract

Abstract: Due to the propagation, amplification, and concatenation in a failure process, the reliabilities of repairable multistate complex mechanical systems (RMCMSs) may be affected by a significant fluctuation due to a small exception associated with a reliability indicator. Focused on the problems arising from the lack of propagation relationships among fault modes, functional components, and failure causes in conventional reliability models, a novel framework for reliability modelling is proposed to comprehensively analyse the reliabilities of RMCMSs. First, the reliability models are abstracted as weighted and directed networks with five layers. Second, an improved failure mode and effects analysis (IFMEA) method combined with the D‐number method and VIKOR approach is presented to determine the importance of reliability nodes. Third, a cut set of the reliability model is generated by any exception of a reliability indicator by considering the propagation relationships, and the reliability sensibility index is defined to characterize the fluctuations in system reliability. The effectiveness of the proposed framework is demonstrated in an actual reliability modelling application. As an intuitive method, the proposed framework inherits the advantages of conventional models but overcomes the drawbacks of these existing methods. Therefore, this method can be flexibly and efficiently used in the reliability modelling of RMCMSs. Moreover, the approach provides a foundation for comprehensive and dynamic reliability analysis and the failure mechanism mining of RMCMSs, and it can be used in other engineering applications.