Title :
Study of sensor fault detection based on modified SVM algorithm
Author :
Zhijia Yu ; Yinan Xu ; Yonghu Ma ; Yujing Wu ; Jin-Gyun Chung
Author_Institution :
Div. of Electron. & Commun. Eng., Yanbian Univ., Yanji, China
Abstract :
Sensor is an essential device in automation control system, and the reliable sensor signal has the massive benefits of the normal operation of whole system. This paper proposed an improved support vector machine (SVM) which is modified by clone select algorithm (CSA) for sensor fault detection. CSA - SVM observer is established by monitoring sensor in real-time, so as to find sensor fault in time. Simulation results show that the algorithm can be effective for fault detection.
Keywords :
fault diagnosis; sensors; support vector machines; SVM algorithm; automation control system; clone select algorithm; sensor fault detection; support vector machine; Solids; Clonal Selection; Fault detection; Support Vector Machine;
Conference_Titel :
SoC Design Conference (ISOCC), 2014 International
DOI :
10.1109/ISOCC.2014.7087656
