Title :
Actuator Fault Diagnosis in Control System Based on Data Fusion
Author :
Ma, Ping ; Du, Hailian ; Niu, Yuguang ; Lv, Feng
Author_Institution :
Key Lab. of Condition Monitoring & Control for Power Plant Equip. Minist. of Educ., North China Electr. Power Univ., Beijing
Abstract :
The electric actuator\´s operating principle is analyzed of control system in this paper, and the experiment platform is setup which aim at the classic faults of actuator, at last the experiment result is recorded. Multi-sensor data fusion theory is discussed and one fault diagnosis fusion algorithm is put forward. The recorded data is input into the fault diagnosis model which is based on two-step fusion "neural network and D-S evidential theory". The result showed that the fault diagnosis algorithm is creditable, which can direct the stable operation
Keywords :
control system analysis; electric actuators; fault diagnosis; neural nets; sensor fusion; uncertainty handling; D-S evidential theory; actuator fault diagnosis; control system; electric actuator; fault diagnosis fusion algorithm; multisensor data fusion theory; neural network; Actuators; Automation; Condition monitoring; Control system analysis; Control systems; Fault diagnosis; Intelligent control; Laboratories; Neural networks; Power generation; data fusion; electric actuator; evidential theory; fault diagnosis; neural network;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1714186
