Reliability analysis of circular multi-state sliding window system with sequential demands. (June 2020)

• Record Type: Journal Article
• Authors: Wang, Wei; Fu, Yongnian; Si, Peng; Lin, Mingqiang
• Is Part Of: Reliability engineering & system safety. Volume 198(2020)
• Publication Date: 2020-06
• Subjects: Circular multi-state sliding window system -- Sequential demands -- System reliability -- Universal moment generating function -- Sequencing optimization -- Genetic algorithm; Reliability (Engineering) -- Periodicals; System safety -- Periodicals; Industrial safety -- Periodicals; Fiabilité -- Périodiques; Sécurité des systèmes -- Périodiques; Sécurité du travail -- Périodiques; 620.00452
• DOI: 10.1016/j.ress.2020.106882
• Languages: English
• ISSNs: 0951-8320

Abstract

Highlights: Propose a new model of circular multi-state sliding window system with sequential demands (CMSWS-SD). Use the concept of pseudo multi-state elements and the definition of a pair of sequential order relations when building the model of CMSWS-SD. Extend the technique of universal moment generating function and develop an algorithm to evaluate the reliability of CMSWS-SD. Suggest a method of reducing computational complexity for evaluating system reliability. Study the optimal element sequencing problem for the CMSWS-SD by using genetic algorithm. Abstract: This paper proposes a new model of circular multi-state sliding window system with sequential demands. In this model the system consists of n mutually independent multi-state elements which are arranged along a circular path and fails if any r consecutive multi-state elements within the circle cannot meet the pre-determined sequential demands W . To evaluate the reliability of the proposed system, an algorithm based on an extended universal moment generating function is suggested and a method of reducing computational complexity is also provided. The element sequence strongly affects the reliability of the proposed circular multi-state sliding window system, therefore, the optimal element sequencing problem is formulated for the system and solved by using a genetic algorithm. Both analytical and numerical examples of evaluating system reliability are presented to illustrate the proposed model and the suggested algorithm.