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CLC number: TH17

On-line Access: 2015-08-04

Received: 2014-10-15

Revision Accepted: 2015-07-07

Crosschecked: 2015-07-09

Cited: 1

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Citations:  Bibtex RefMan EndNote GB/T7714


Jian Zhang


Ji-en Ma


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Journal of Zhejiang University SCIENCE A 2015 Vol.16 No.8 P.597-606


Optimal condition-based maintenance strategy under periodic inspections for traction motor insulations

Author(s):  Jian Zhang, Ji-en Ma, Xiao-yan Huang, You-tong Fang, He Zhang

Affiliation(s):  1College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   jienma@126.com

Key Words:  Traction motor insulation, Condition-based maintenance (CBM), Preventive maintenance (PM), Shock

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Jian Zhang, Ji-en Ma, Xiao-yan Huang, You-tong Fang, He Zhang. Optimal condition-based maintenance strategy under periodic inspections for traction motor insulations[J]. Journal of Zhejiang University Science A, 2015, 16(8): 597-606.

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A1 - Jian Zhang
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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.

This paper proposes a model for the optimization of maintenance decisions under both fatigue and random shocks. The objective is to derive the optimal inspection schedule and preventive maintenance time for systems with two operational states and a functional failure state.


方法:1. 采用正常状态、潜在故障状态与功能故障状态描述牵引电机绝缘运行状况;2. 应用泊松过程描述随机高电压冲击;3. 以单位时间的运行成本为目标函数,以监测间隔和预防性维修寿命阈值为优化变量,建立最优视情维修决策 模型。


Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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