Fault Detection Method for Automotive anti Lock Braking System Based on Support Vector Machine
In order to achieve precise detection of anti lock braking system(ABS)faults and reduce driving safety hazards,support vector machine(SVM)is introduced for analysis.Under the condition of only consider-ing the longitudinal motion of the car,establish the dynamic equation of the car driving process and extract the mechanical characteristic parameters of the ABS system operation;Using SVM as a binary classification method,setting the original data set,applying SVM for hyperplane information retrieval,achieving parameter learning based on minimizing experience,parameter learning,and decision function construction;Establish a reference se-quence of dependent variables for the normal operation of the system,and perform dimensionless comparison of the system sequence based on the time series distribution of parameters,in order to achieve the diagnosis and de-tection results output of system faults.The comparative experimental results show that the designed fault detec-tion method has good practical application effects.
Support vector machineDecision functionDetection methodFaultAnti lock braking systemAutomobile
万方数据
维普
