Preventive Maintenance Strategy of Environmental Test Chamber Based on Particle Swarm Optimization Algorithm-Reference-Cited by-同舟云学术

Preventive Maintenance Strategy of Environmental Test Chamber Based on Particle Swarm Optimization Algorithm

Published:2022-01-15 Issue: Volume:16 Page:618-627
ISSN:1998-4464
Container-title:International Journal of Circuits, Systems and Signal Processing
language:en
Short-container-title:

Author:

Zhou Xianwen¹,Gu Chaoyang¹,Sun Yuyu²,Han Chengjing³,Gu Wei¹,Niu Wangqiang¹

Affiliation:

1. Key Laboratory of Transportation Technology and Control Engineering, Shanghai Maritime University, Shanghai 201306, China

2. Jiangsu Automation Research Institute, Lianyungang 222021, China

3. Shanghai Sizhong Experimental Equipment Co., Ltd, Shanghai 201615, China

Abstract

With the development of various physical industries, people pay more attention to reliability tests and test equipment. To solve the problem of making maintenance strategy of an environmental test chamber for reliability test, a periodic preventive maintenance strategy based on RCM(Reliability Centre Maintenance) is proposed. Firstly, a multi-objective optimization model of reliability and maintenance cost is established by combining reliability theory and life distribution theory, and two objectives of equipment reliability and maintenance cost are considered. Secondly, the actual environmental test chamber fault maintenance data is analyzed, and it is found the fault distribution meets the dual parameter Weibull. Finally, the particle swarm optimization algorithm is used to solve the multi-objective model optimization, and a series of Pareto optimal solutions are obtained, that is, the number of maintenance times and the corresponding time interval in the operation cycle of the environmental test chamber, and these solutions might be good references for maintenance management personnel.

Publisher

North Atlantic University Union (NAUN)

Subject

Electrical and Electronic Engineering,Signal Processing

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