Title :
The studies of Single-phase Inverter Fault Diagnosis Based on D-S Evidential Theory and Fuzzy Logical Theory
Author :
Baocheng, Wang ; Danhe, Li ; Xiaofeng, Sun ; Weiyang, Wu
Author_Institution :
Yanshan Univ., Hebei
Abstract :
A data fusion method for single-phase inverter fault diagnosis based on D-S evidential theory and fuzzy logical theory is presented. By measuring the output voltage the two bridge-arms voltage and the temperature of MOSFET, the belief function assignment is obtained, and the fusion belief function assignment is obtained by using D-S rule and fuzzy logic, and fault component is found. By comparing the diagnosis results based on separate original data and fused data respectively, it is shown that the latter is more accurate than the former in the fault recognition
Keywords :
fault diagnosis; fuzzy logic; inference mechanisms; invertors; power MOSFET; power convertors; power engineering computing; sensor fusion; uncertainty handling; Dempster-Shafer evidential theory; MOSFET temperature; data fusion method; fault component; fusion belief function assignment; fuzzy logical theory; output voltage measurement; single-phase inverter fault diagnosis; two bridge-arms voltage; Cameras; Fault diagnosis; Fuzzy logic; Inverters; Mobile robots; Navigation; Position measurement; Robot kinematics; Robot vision systems; Visual system; D-S evidential theory; belief function; data fusion; fault diagnosis;
Conference_Titel :
Power Electronics and Motion Control Conference, 2006. IPEMC 2006. CES/IEEE 5th International
Conference_Location :
Shanghai
Print_ISBN :
1-4244-0448-7
DOI :
10.1109/IPEMC.2006.4778350
