Brake pad wear detection using machine learning
Chetan C. Harlapur, Priyatamkumar Kadiyala, S. Ramakrishna
Abstract
Chetan C. Harlapur, Priyatamkumar Kadiyala, S. Ramakrishna
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.
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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