Open AccessPreventive Maintenance Strategy of Environmental Test Chamber Based on Particle Swarm Optimization Algorithm
Author(s) -
Xukai Zhou,
Chaoyang Gu,
Yuyu Sun,
Chengjing Han,
Wenjin Gu,
Wangqiang Niu
Publication year - 2022
Publication title -
international journal of circuits, systems and signal processing
Language(s) - English
Resource type - Journals
ISSN - 1998-4464
DOI - 10.46300/9106.2022.16.77
Subject(s) - reliability engineering , particle swarm optimization , reliability (semiconductor) , preventive maintenance , weibull distribution , fault (geology) , pareto principle , multi objective optimization , condition based maintenance , engineering , optimal maintenance , test (biology) , computer science , mathematical optimization , algorithm , mathematics , operations management , statistics , power (physics) , physics , quantum mechanics , seismology , geology , paleontology , biology
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.