Optimum maintenance policy using semi-Markov decision processes

被引：13
|
作者：
Tomasevicz, Curtis L. [1 ]
Asgarpoor, Sohrab [1 ]
机构：
[1] Univ Nebraska, Dept Elect Engn, Lincoln, NE 68588 USA
来源：
2006 38TH ANNUAL NORTH AMERICAN POWER SYMPOSIUM, NAPS-2006 PROCEEDINGS | 2006年
关键词：
equipment availability; maintenance; power system maintenance; semi-Markov process; semi-Markov decision process;
D O I：
10.1109/NAPS.2006.359586
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
A method is presented to solve for the optimum maintenance policy of repairable power equipment. The approach uses a continuous-time semi-Markov process (SMP) to first find the optimal maintenance rate for maximum availability of the equipment. Then a semi-Markov decision process (SMDP) is utilized to determine whether maintenance should be performed in each deterioration state. The approach uses a model that assumes equipment can fail due to both deterioration and random occurrences. Preventive maintenance can be performed from each working state to prevent deterioration failure. An example is used to demonstrate the method using MATLAB software.
引用
收藏
页码：23 / +
页数：2
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