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Residual life prediction of wet clutch based on binary Wiener process

Yong Liu (School of Energy and Power Engineering, North University of China, Taiyuan, China)
Jiang Zhang (College of Mechatronics Engineering, North University of China, Taiyuan, China)
Junjie Cui (College of Mechatronics Engineering, North University of China, Taiyuan, China)
Changsong Zheng (School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China)
Yajun Liu (Inner Mongolia North Heavy Industry Group Co, Baotou, China)
Jian Shen (College of Mechatronics Engineering, North University of China, Taiyuan, China)

Industrial Lubrication and Tribology

ISSN: 0036-8792

Article publication date: 10 February 2023

Issue publication date: 15 February 2023

102

Abstract

Purpose

In armored vehicles integrated transmissions, residual life prediction based on oil spectrum data is crucial for condition monitoring and reliability assessment. This paper aims to use the advantages of real-time and accurate prediction of binary Wiener process, the residual life prediction of clutch is studied.

Design/methodology/approach

First, combined with the wet clutch life test, the indicator elements Cu and Pb and the failure threshold of the residual life prediction of the clutch are extracted through the oil replacement correction of the spectral data of the whole life cycle; second, the correlation characteristics of indicating elements are analyzed by MATLAB Copula function, then the correlation function of residual life will be derived; third, according to the inverse Gaussian principle, the performance degradation mathematical models of the unary and binary Wiener processes of the above two indicator elements are established; finally, the maximum likelihood estimation method is used to estimate the parameters, and the monadic and binary performance degradation mathematical models are used to predict the residual life of the tested clutch.

Findings

By comparing the prediction results with the test results, with the passage of time, 81.25% of the predicted value error of the residual life prediction method based on the binary Wiener process is controlled within 20%, while 56.25% of the predicted value error of the residual life prediction method based on the unitary Wiener process is controlled within 20%. At the same time, the prediction accuracy of the binary prediction model is 2%–16.7% higher than that of the unitary prediction model.

Originality/value

This paper studies the residual life prediction theory of wet clutch, which can develop the theory and method of comprehensive transmission health monitoring, and provide theoretical and technical support for the construction of a reliable health management system for high-speed tracked vehicles.

Keywords

Acknowledgements

This paper studies the residual life prediction theory of wet clutch, which can develop the theory and method of comprehensive transmission health monitoring, and provide theoretical and technical support for the construction of a reliable health management system for high-speed tracked vehicles.

Funding: This study was supported by Transmission National Defense Science and Technology Key Laboratory fund project (141009AT03091H); the National Natural Science Foundation Project (62003314); Shanxi Graduate Innovation Project (2021Y577); and Shanxi Natural Science Foundation Project (201901D111131).

Citation

Liu, Y., Zhang, J., Cui, J., Zheng, C., Liu, Y. and Shen, J. (2023), "Residual life prediction of wet clutch based on binary Wiener process", Industrial Lubrication and Tribology, Vol. 75 No. 2, pp. 263-271. https://doi.org/10.1108/ILT-03-2022-0099

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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