System Reliability Assessment Based on Failure Propagation Processes
Joint Authors
Jia, Limin
Lin, Shuai
Wang, Yanhui
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-26
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
One or several component failures may lead to more related component malfunction and ultimately cause system reliability reduction.
Based on this, we focus on the assessment system reliability of complex electromechanical systems (CEMSs) in a fault-propagation view.
First, failure propagation model taking into consideration failure data based on network theory and improved polychromatic sets is proposed for system reliability evaluation.
From the node point of view, system effectiveness index is constructed to investigate the variation of efficiency of the holistic network.
Subsequently, from the system’s perspective, system reliability measurement is provided and estimated in combination with system effectiveness index and failure propagation models.
Finally, the application of proposed method to a bogie system of high-speed train assesses system reliability, and meanwhile, the effectiveness of the proposed method is able to be illustrated.
American Psychological Association (APA)
Lin, Shuai& Wang, Yanhui& Jia, Limin. 2018. System Reliability Assessment Based on Failure Propagation Processes. Complexity،Vol. 2018, no. 2018, pp.1-19.
https://search.emarefa.net/detail/BIM-1136786
Modern Language Association (MLA)
Lin, Shuai…[et al.]. System Reliability Assessment Based on Failure Propagation Processes. Complexity No. 2018 (2018), pp.1-19.
https://search.emarefa.net/detail/BIM-1136786
American Medical Association (AMA)
Lin, Shuai& Wang, Yanhui& Jia, Limin. System Reliability Assessment Based on Failure Propagation Processes. Complexity. 2018. Vol. 2018, no. 2018, pp.1-19.
https://search.emarefa.net/detail/BIM-1136786
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136786