Reliability analysis of a multi-component machining system with service interruption, imperfect coverage, and reboot

2020 ◽  
Vol 202 ◽  
pp. 106991 ◽  
Author(s):  
Pankaj Kumar ◽  
Madhu Jain
2014 ◽  
Vol 63 (1) ◽  
pp. 367-382 ◽  
Author(s):  
Liudong Xing ◽  
Brock A. Morrissette ◽  
Joanne Bechta Dugan

2019 ◽  
Vol 37 (1) ◽  
pp. 262-288
Author(s):  
Liling Ge ◽  
Yingjie Zhang

Purpose The purpose of this paper is to identify the critical components of a complex system by using survival signature. First, a complex system is abstracted with varying scales and generates a multi-levels model. Then reliability evaluations can be conducted by survival signature from rough to fine for tracing and identifying them. Finally, the feasibility of the proposed approach is demonstrated by an actual production system. Design/methodology/approach The paper mainly applies a multi-level evaluating strategy for the reliability analysis of complex systems with components of multiple types. In addition, a multi-levels model of a complex system is constructed and survival signature also used for evaluation. Findings The proposed approach was demonstrated to be the feasibility by an actual production system that is used in the case study. Research limitations/implications The case study was performed on a system with simple network structure, but the proposed approach could be applied to systems with complex ones. However, the approach to generate the digraphs of abstraction levels for complex system has to be developed. Practical implications So far the approach has been used for the reliability analysis of a machining system. The approach that is proposed for the identification of critical components also can be applied to make maintenance decision. Originality/value The multi-level evaluating strategy that was proposed for reliability analysis and the identification of critical components of complex systems was a novel method, and it also can be applied as index to make maintenance planning.


2009 ◽  
Author(s):  
Ronald Laurids Boring ◽  
Johanna Oxstrand ◽  
Michael Hildebrandt

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