| The Third Special Part-Issue on High-Speed Railways Technology (Guest Editor: You-tong FANG) |
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| Optimal condition-based maintenance strategy under periodic inspections for traction motor insulations |
| Jian Zhang, Ji-en Ma, Xiao-yan Huang, You-tong Fang, He Zhang |
| 1College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; 2China Academy of West Region Development, Zhejiang University, Hangzhou 310027, China; 3Department of Electrical and Electronic Engineering, The University of Nottingham, Nottingham NG7 2RD, UK |
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Abstract Insulation failure is a crucial failure mode of traction motors. Insulation deteriorates under both fatigue load and shock. This paper focuses on proposing an optimal insulation condition-based maintenance strategy. By combining the information obtained from periodic inspections with historic life information, an integrated model of time-based maintenance and condition-based model is proposed, in which random shocks following Poisson process are also taken into account. In this model we define that insulation has three states: normal state, latent failure state, and functional failure state. Normal state and latent failure state differ in their operating cost, proneness to functional failure, and survival probability under extreme shocks. Preventive maintenance (PM) will be launched if an inspection result exceeds the threshold or if the operating time reaches the critical age. One operating cycle ends as soon as a preventive maintenance or a corrective maintenance is completed. Moreover, an optimization model is established, which takes minimal cost per unit time as the objective, and inspection interval and critical age as the optimization variables. Finally, a numerical example illustrates the analytic results.
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Received: 15 October 2014
Published: 04 August 2015
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