A reliability assessment approach for systems with heterogeneous component information. Issue Volume 30:Issues 4(2018) (2nd October 2018)

• Record Type: Journal Article
• Authors: Xu, Jianyu; Yu, Dan; Hu, Qingpei; Xie, Min
• Is Part Of: Quality engineering. Volume 30:Issues 4(2018)
• Page Start: 676
• Page End: 686
• Publication Date: 2018-10-02
• Subjects: component information -- degradation models -- MLE -- pivot -- system reliability assessment -- Weibull distribution; Quality control -- Periodicals; Production management -- Quality control -- Periodicals; 658.5
• DOI: 10.1080/08982112.2017.1402935
• Languages: English
• ISSNs: 0898-2112

Abstract

ABSTRACT: Reliability assessment of complex systems is an important yet difficult task. The difficulty arises largely because of heterogeneous component-level data, for example, lifetime data, degradation data, component-level assessment results, and prior information. A method for reliability assessment is developed in this article for systems plagued by degradation and lifetime data. Our framework divides component-level information into two types. These two types are then combined using a systematic approach. This article describes the method along with some application examples that demonstrate the approach capable of overcoming several difficulties associated with conventional reliability assessment approaches.