Title :
SVM based fault classifier design for a water level control system
Author :
Dongyun Wang ; Xiaomin Qi ; Shengjun Wen ; Mincong Deng
Author_Institution :
Electron. & Inf. Eng., Zhongyuan Univ. of Technol., Zhengzhou, China
Abstract :
For classifying the faults of a water level control system, a fault classifier based on SVM is presented. Firstly, each kind of the possible faults is simulated to get the feature vector of each fault. Then, by analyzing the system states when the faults occur in the control system, the features of the faults are extracted. After that, the fault classifier based on SVM is designed to classify the faults. Finally, simulation is given to show the effectiveness of the investigated method.
Keywords :
control engineering computing; fault diagnosis; level control; pattern classification; support vector machines; SVM based fault classifier design; feature vector; water level control system; Control systems; Fault diagnosis; Kernel; Reliability theory; Support vector machines; faults classification; feature vector; support vector machine; water level control system;
Conference_Titel :
Advanced Mechatronic Systems (ICAMechS), 2013 International Conference on
Conference_Location :
Luoyang
Print_ISBN :
978-1-4799-2518-6
DOI :
10.1109/ICAMechS.2013.6681768
