考虑人为因素的电气设备混合检修策略研究  

Hybrid maintenance strategy of electric equipment incorporating human factor

作　　者：文东山 焦昊[1] 暴英凯 郭创新[1] 朱炳全[2] 徐立中[2] 

机构地区：[1]浙江大学电气工程学院,浙江杭州310027 [2]国网浙江省电力公司,浙江杭州310007

出　　处：《机电工程》2016年第9期1103-1108,共6页Journal of Mechanical & Electrical Engineering

基　　金：国家自然科学基金重点项目(51537010);国家高技术研究发展计划("863计划")资助项目(2015AA050204)

摘　　要：针对目前电力设备检修模型中很少考虑人为因素影响,且通常都只研究单一检修模式下的检修周期优化问题导致现有检修策略考虑影响因素不全面的情况,对电力设备检修过程中的人为影响因素进行了研究归纳,并提出了一种基于时间延迟理论的电力设备状态检修与计划检修混合检修模型,并在设备状态检测和设备检修过程中充分考虑了人为因素的影响;同时通过优化状态检修和计划检修的检修周期使单位时间检修成本达到最小。研究结果表明,混合检修模式下选择合理的状态检修周期和计划检修周期相比于单一状态检修模式下能够降低单位时间平均检修成本、提高检修效率;同时也说明,在设备状态检测及检修过程中充分考虑人为失误等因素的影响对优化检修周期有很积极的作用。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.

关 键 词：人为因素 混合检修策略 检修周期 检修成本 时间延迟模型 

分 类 号：TM732[电气工程—电力系统及自动化]