基于周期性监测的牵引电机绝缘最优视情维修决策
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Published in | 浙江大学学报:A卷英文版 Vol. 16; no. 8; pp. 597 - 606 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
2015
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Subjects | |
Online Access | Get full text |
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Bibliography: | Jian ZHANG, Ji-en MA, Xiao-yan HUANG, You-tong FANG, He ZHANG(1 College 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) Insulation failure is a crucial failure mode of traction motors. Insulation deteriorates under both fatigue load and shock. This paper focuses on proposing an optima! insulation condition-based maintenance strategy. By combining the infor- mation 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. Preven- tive 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 op- timization 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. 33-1236/O4 Traction motor insulation, Condition-based maintenance (CBM), Preventive maintenance (PM), Shock |
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ISSN: | 1673-565X 1862-1775 |