Title :
Fault Diagnosis by Bayesian Network in System of Poor Braking Efficiency
Author :
Li, Hai-cheng ; Zhou, Yan
Author_Institution :
Inf. Technol. Coll., Eastern Liaoning Univ., Dandong, China
Abstract :
Uncertainty and complexity exist between various fault symptoms and various fault causes in fault diagnosis for poor braking efficiency in hydraulic braking system. Fault diagnosis for poor efficiency in hydraulic braking system as the object of study, the paper develops a solution for fault diagnosis to hydraulic braking system by means of Bayesian network, at the foundation of failure pattern and cause analysis of hydraulic braking system. Having studied the structure of Bayesian network according to rules provided by experts, the paper establishes a fault diagnosis model in poor braking system on the basis of Bayesian network. Test and evaluation conclusions indicate that Bayesian network has solved the uncertainty in fault diagnosis and improved diagnostic accuracy in the fault diagnosis system of hydraulic braking system.
Keywords :
belief networks; brakes; braking; fault diagnosis; hydraulic systems; mechanical engineering computing; Bayesian network; cause analysis; diagnostic accuracy; failure pattern; fault causes; fault diagnosis; fault symptom; hydraulic braking system; poor braking efficiency; poor braking system; Accuracy; Bayesian methods; Fault diagnosis; Friction; Uncertainty; Wheels; Bayesian network; fault diagnosis; hydraulic braking; poor efficiency;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
Conference_Location :
Nanchang, Jiangxi
Print_ISBN :
978-1-4673-1902-7
DOI :
10.1109/IHMSC.2012.17