Title: Wear life prediction of vehicle brake pads based on image visual features

Authors: Zuokui Li; Ruibin Jang

Addresses: Department of Mechanical and Electronic Engineering, Hunan Biological and Electromechanical Polytechnic, Changsha 410126, China ' Department of Vehicle Engineering, Hunan Biological and Electromechanical Polytechnic, Changsha 410126, China

Abstract: In order to solve the problem of poor prediction accuracy and stability existing in traditional prediction methods of vehicle brake pad wear life, this paper proposes a new prediction method of vehicle brake pad wear life based on image visual features. According to the visual features of the image, the grey moment features of the image are extracted, and the adaptive binary clustering is used to extract the target contour from the image. Aiming at the areas with different visual brightness, a three-dimensional physical model is established, and the friction coefficient and other parameters are calculated. Combined with the material characteristics of the brake pad, the wear life of the brake pad is predicted. The experimental results show that the proposed method has high detection accuracy, high level of stability maintenance, and its prediction reliability is improved. The maximum mutation index is less than 0.1.

Keywords: image visual feature; vehicle braking; brake pad; wear life prediction; poor prediction accuracy and stability; visual features.

DOI: 10.1504/IJVD.2022.128017

International Journal of Vehicle Design, 2022 Vol.89 No.1/2, pp.98 - 113

Received: 24 May 2021
Accepted: 25 Aug 2021
Published online: 04 Jan 2023 *

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