The RUL prediction based on improved Wiener degradation model for wet friction components

Author:

Wu Jianpeng,Li PengpengORCID,Wang Liyong,Huang Xiaozan,Yang JianORCID,Du Molin

Abstract

Abstract The wet clutch is a critical component of the comprehensive transmission system, and its reliability determines the stability of heavy equipment operation. As the core component of the wet clutch, the life of the wet friction components directly affects the reliability of the wet clutch. To accurately predict the wet friction components remaining useful life (RUL), an improved Wiener degradation model is established. Compared to traditional models, it sets drift parameters as random parameters to consider the randomness of degradation process. The life and degradation data of wet friction components are obtained through accelerated life test, and the composite degradation indicator is constructed by screening and fusing degradation data. Innovatively, we fuse life and degradation data to reduce early errors in RUL prediction of wet friction components. The result shows that the RUL prediction average absolute error of the improved Wiener degradation model is 0.31 h in the accelerated life range of 80 h–110 h, which verifies the accuracy of the model.

Funder

National Natural Youth Science Foundation of China

National Natural Science Foundation of China

Publisher

IOP Publishing

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