2019International journal of advance research, ideas and innovations in technologyRequires access

Brake pad wear detection using machine learning

Chetan C. Harlapur, Priyatamkumar Kadiyala, S. Ramakrishna

Open publisher page 6 citations

Abstract

Most of the vehicles use a brake disk and brake pad system to stop the vehicle. Brake pad wear is a very important parameter in this system it has a direct effect on the braking performance of the vehicle. A machine learning approach, without using any intrinsic properties like the coefficient of friction of the brake pad material or the area of the brake pads or the composition of the brake pad material, has been proposed. The braking performance of the vehicle is reflected in its stopping distance and hence it is essential to relate the stopping distance and the brake pad wear. The same has been proposed in this document.

About this research paper

What this paper is about

Most of the vehicles use a brake disk and brake pad system to stop the vehicle. Brake pad wear is a very important parameter in this system it has a direct effect on the braking performance of the vehicle. A machine learning approach, without using any intrinsic properties like the coefficient of friction of the brake pad material or the area of the brake pads or the composition of the brake pad material, has been proposed. The braking performance of the vehicle is reflected in its stopping distance and hence it is essential to relate the stopping distance and the brake pad wear. The same has been proposed in this document.

Why it matters

OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Most of the vehicles use a brake disk and brake pad system to stop the vehicle. Brake pad wear is a very important parameter in this system it has a direct effect on the braking performance of the vehicle. A machine learning approach, without using any intrinsic properties like the coefficient of friction of the brake pad material or the area of the brake pads or the composition of the brake pad material, has been proposed. The braking performance of the vehicle is reflected in its stopping distance and hence it is essential to relate the stopping distance and the brake pad wear. The same has been proposed in this document.

Key concepts: Brake pad, Brake, Automotive engineering, Braking distance, Brake shoe, Friction coefficient, Disc brake, Computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
Brake pad wear detection using machine learning — Research Paper | ScholarLens