This paper is published in Volume-5, Issue-2, 2019
Area
Machine Learning, Automobile
Author
Chetan C. Harlapur
Co-authors
Priyatamkumar Kadiyala, Ramakrishna S.
Org/Univ
KLE Technological University, Hubballi, Karnataka, India
Pub. Date
22 March, 2019
Paper ID
V5I2-1376
Publisher
Keywords
Brake pad thickness, Stopping distance, Multivariate linear regression, Second order curve

Citationsacebook

IEEE
Chetan C. Harlapur, Priyatamkumar Kadiyala, Ramakrishna S.. Brake pad wear detection using machine learning, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Chetan C. Harlapur, Priyatamkumar Kadiyala, Ramakrishna S. (2019). Brake pad wear detection using machine learning. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Chetan C. Harlapur, Priyatamkumar Kadiyala, Ramakrishna S.. "Brake pad wear detection using machine learning." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

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.
Paper PDF