JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2014, Vol. 44 ›› Issue (4): 90-94.doi: 10.6040/j.issn.1672-3961.0.2013.186

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Condition-based maintenance optimization for power equipment based on fuzzy Markov processes

JIANG Xuelei, ZHANG Bo, HAN Xueshan   

  1. School of Electrical Engineering, Shandong University, Jinan 250061, Shandong, China
  • Received:2013-06-25 Revised:2014-05-30 Published:2013-06-25

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Abstract: Through the application of the fuzzy Markov process in the maintainance decision of equipment, the incorrectness of the maintenance decisions caused by the uncertainty of transition rates of aging equipment could be solved. First, fuzzy Markov models were developed in which the transition rates were represented by fuzzy membership functions. And then, extension principle was used to calculate the fuzzy availability. At last, an optimization method was proposed to get the optimal inspection rates of the equipment for maximum availability. Test results indicated that the proposed method was practical and promising,thus it can be widely used in power equipment maintenance optimization.

Key words: condition-based maintenance, Markov process, state diagram, maintenance decision, fuzzy decision, inspection rates

CLC Number: 

  • TM73
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