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On-Condition Maintenance Decision on EMU Bogie

Volume 15, Number 5, May 2019, pp. 1381-1388
DOI: 10.23940/ijpe.19.05.p14.13811388

Yonghua Lia, Hongjie Yub, Yuehua Gaoa, and Xiaojia Liangb

aSchool of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian, 116028, China
bCRRC Changchun Railway Vehicles Co. Ltd, Changchun, 130062, China

 

(Submitted on December 13, 2018; Revised on January 14, 2019; Accepted on February 15, 2019)

Abstract:

Aiming at solving the problem that the current on-condition maintenance (OCM) time is not accurate, this paper proposes an OCM policy based on historical failure data, real-time condition monitoring data, and the Weibull proportional intensity model (WPIM). Firstly, taking the mean distance between failures (MDBF) during the actual operation of Electric Multiple Unit (EMU) as the design variable and the failure rate of the structure and the wheel set as the adjoint variable, a WPIM model is established. Then, based on the solved model, a physical programming method is introduced to ensure the cost and reliability under the expected range. Finally, taking the bogie as the research object, the effectiveness and application value of the proposed maintenance policy in the bogie maintenance decision-making are verified through analysis, providing a theoretical basis for the OCM maintenance classification and maintenance system optimization of bogies.

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