Life Predictions of Brake Friction Pair Based on Physical Models and Statistical Analysis

Title:Life Predictions of Brake Friction Pair Based on Physical Models and Statistical Analysis

Volume: 11 Issue: 1

Author(s): Wang Yao, Jiusheng Bao*, Yan Yin, Tonggang Liu and Ning Wang

Affiliation:

• School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou 221116,China

Keywords: Brake friction pair, fatigue life, life prediction, neural network, physical model, statistical analysis, wear life.

Abstract: Background: Friction brake is the most important safety device of mechanical systems. In order to avoid accidents caused by braking failure, it is highly important to forecast the remaining useful life of brakes accurately.

Objective: The purpose of this study is to provide an overview about life prediction methods of brake friction pair based on physical models and statistical analysis.

Methods: In this paper, the widely used life prediction methods of brake friction pair based on physical model and statistical analysis are summarized. To be specific, the fatigue life of brake disc/drum and the wear life of brake pad are analyzed in depth based on their physical models. Meanwhile, three life prediction methods based on statistical analysis which are linear regression, grey prediction and neural network, are discussed.

Results: Life predictions based on the physical model often ignore random, mutation and nonlinear factors in building failure model, while life predictions based on statistical analysis don’t need to explore the detailed failure mechanism. Curve fitting, grey prediction and neural network are mainly used in life prediction based on the statistical analysis.

Conclusion: Data mining technology such as neural network plays a more important role as a result of its comprehensive consideration of braking conditions and braking frequency, and studies on real-time monitoring system for life predictions have practical significance for forecasting the catastrophic failure timely.

Cite this article as:

Yao Wang , Bao Jiusheng *, Yin Yan , Liu Tonggang and Wang Ning , Life Predictions of Brake Friction Pair Based on Physical Models and Statistical Analysis, Recent Patents on Mechanical Engineering 2018; 11 (1) . https://dx.doi.org/10.2174/2212797611666180216160021