An Economical Optimization Model of Non-Periodic Maintenance Decision for Deteriorating System

• Published in: IEEE access Vol. 6; pp. 55149 - 55161
• Main Authors: Zhang, Cong, Zhu, Haiping, Wu, Jun, Cheng, Yiwei, Deng, Yuhao, Liu, Cheng
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation models; Adaptive systems; Algorithms; Condition based maintenance; Cost analysis; deteriorating system; Deterioration; Economic models; imperfect inspection; Inspection; Maintenance; Maintenance engineering; Monitoring; Numerical models; Optimization; Optimization models; Particle swarm optimization; reliability; Sensitivity analysis; Stability analysis; system stability; Systems stability
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2018.2872348

Condition-based maintenance is an effective method for deciding when to maintain deteriorating system. In this paper, a non-periodic maintenance model with adaptive inspection intervals is proposed by the consideration of system stability and deterioration. Different maintenance plans and monitoring strategies are adopted in distinct stages of life cycle of the deteriorating system to reduce costs, which is a complex multiple optimization parameter problem. And particle swarm optimization algorithm combining heuristic rules is designed to solve this multi-objective problem. Finally, a numerical example is implemented to illustrate the effectiveness and rationality of the proposed model. The comparison between the proposed model and other maintenance models illustrates the economy of the proposed model and the importance of considering system stability. Sensitivity analysis is also performed to investigate the effect of seven cost factors.