A new reliability allocation method for mechanical systems considering parts recycling and performance stability

IF 6.7 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Industrial Engineering Pub Date : 2025-02-01 DOI:10.1016/j.cie.2024.110792
Jian Li , Hongwei Wang , Zongyi Mu , Yulong Li , Yanbin Du
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引用次数: 0

Abstract

A reliability allocation method for mechanical system is proposed in this paper, which considers the parts recycling and the performance stability of system. First, taking the meta-action of the mechanical system as the analysis object, and six influencing factors are comprehensively considered, including the maturity of unit technology, environmental severity, parts recycling and reuse, unit structural complexity, unit maintenance coefficient, and performance impact. The maturity of unit technology, environmental severity and parts recycling and reuse as the qualitative evaluation indexes; The complex of unit structure, coefficient of unit maintenance and performance impact as the quantitative evaluation indexes. Then, the qualitative data and quantitative data are comprehensively analyzed by TOPSIS method to obtain the reliability distribution coefficient of each unit, and the reliability of the mechanical system is allocated reasonably. Compared with the traditional method, the reliability allocation process of mechanical system is analyzed from the perspective of the lifecycle cost and the perspective of mechanical system performance stability. The boundary of influence factors is clear and the rationality results is more reasonable. The reliability allocation of NC rotary table system is analyzed by using the proposed method, and the allocation results is compared with the traditional method to verify the effectiveness of this method.
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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