CLC number: TH17
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2015-07-09
Cited: 1
Clicked: 5558
Citations: Bibtex RefMan EndNote GB/T7714
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.
@article{title="Optimal condition-based maintenance strategy under periodic inspections for traction motor insulations",
author="Jian Zhang, Ji-en Ma, Xiao-yan Huang, You-tong Fang, He Zhang",
journal="Journal of Zhejiang University Science A",
volume="16",
number="8",
pages="597-606",
year="2015",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1400311"
}
%0 Journal Article
%T Optimal condition-based maintenance strategy under periodic inspections for traction motor insulations
%A Jian Zhang
%A Ji-en Ma
%A Xiao-yan Huang
%A You-tong Fang
%A He Zhang
%J Journal of Zhejiang University SCIENCE A
%V 16
%N 8
%P 597-606
%@ 1673-565X
%D 2015
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1400311
TY - JOUR
T1 - Optimal condition-based maintenance strategy under periodic inspections for traction motor insulations
A1 - Jian Zhang
A1 - Ji-en Ma
A1 - Xiao-yan Huang
A1 - You-tong Fang
A1 - He Zhang
J0 - Journal of Zhejiang University Science A
VL - 16
IS - 8
SP - 597
EP - 606
%@ 1673-565X
Y1 - 2015
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A1400311
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.
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.
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