Hybrid maintenance strategy of electric equipment incorporating human factor
WEN Dongshan1, JIAO Hao1, BAO Yingkai1, GUO Chuangxin1, ZHU Bingquan2, XV Lizhong2
(1.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; 2.State Grid Zhejiang Electric Power Company, Hangzhou 310007, China)

Abstract: Aiming at the problem that human error was rarely considered in electrical equipment maintenance so far, and what be usually studied was optimization problems under single maintenance mode. Human factors in electrical equipments maintenance process ware studied, and then a hybrid model of condition based maintenance and periodic maintenance based on delay-time-based model incorporating human factors in condition detection and maintenance was established. Then the cycles of both maintenance methods were optimized to minimum the cost per unit time. The results indicate that choosing reasonable cycles could minimize the cost per unit time of equipment maintenance and improve maintenance efficiency compared to condition based maintenance alone. What also demonstrated by the result is considering human errors in condition detection and maintenance of equipment has very positive effect to optimize the maintenance cycles.
Key words: human error; hybrid maintenance strategy; maintenance cycle; maintenance cost; delay time based model