Title :
Fault diagnosis of ABS of vehicles based on BP neural net
Author :
Wang Dejun ; Li Meng ; Wang Lihua
Author_Institution :
State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China
Abstract :
During the process of Anti-Brake System(ABS) running, the cases of system variables waving are investigated based on automobile dynamic model. Fault modes of actuators and sensors in ABS are built up. And data-fault is acquired. BP neural net works are utilized to fault diagnosis. Finally, simulation examples are performed to verify the effectiveness of the proposed design.
Keywords :
automobiles; backpropagation; fault diagnosis; neurocontrollers; vehicle dynamics; BP neural network; actuator; antibrake system; automobile dynamic model; data fault; fault diagnosis; fault mode; sensor; system variable; vehicle; Actuators; Artificial neural networks; Automobiles; Electronic mail; Fault diagnosis; Sensors; Vehicle dynamics; ABS; BP Neural Net; Fault Diagnosis;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6
