摘要
合理地规划设备维修的周期,可以减少事故的发生,提高企业的生产效益。以某变压器维修排程为例,综合考虑了故障后维修成本、计划性维修成本、维修效果和维修时间、设备可靠性等因素,提出一种特定时间段内设备检修计划排程的优化模型。该优化模型属于带约束条件的非线性优化问题范畴。在工程应用中,对此类模型常用遗传算法进行求解。
Rationally planning equipments' maintenance period can reduce failures and raise the productive benefits of an enterprise. Citing the maintenance scheduling of a transformer for instance, this paper presents an optimized model for equipment maintenance scheduling in a given time quantum, which takes into consideration the post-failure maintenance costs, prophylactic repair costs, repair effects and time, apparatus reliability, etc. The model belongs to the realm of nonlinear optimization with constraint conditions; this kind of model is often solved with genetic algorithm in engineering application.
出处
《广东电力》
2004年第5期7-8,47,共3页
Guangdong Electric Power
关键词
电气设备
维修周期
成本分析
目标函数
最优化
数学模型
威布尔分布
electric equipment
maintenance period
cost analysis
objective function
optimization
mathematic model
Weibull distribution