Title :
Research on fault diagnosis method of Principal Components Analysis and D-S evidence theory
Author :
Tong, Peng ; An, Lian-suo ; Zhang, Ji ; Liu, Yu-tao
Author_Institution :
Dept. of Power Eng., Baoding Tech. Coll. of Electr. Power, Baoding, China
Abstract :
According to the problem of amount and complexity of calculation exponent increased with the measurement dimension increment when multi-data source related by D-S Fusion arithmetic, a fault diagnosis method combined PCA and D-S evidence theory is proposed. Then, the characteristic of data dimension reduction of PCA and the completeness of fault diagnosis and the advantage of presenting and reasoning inaccurate information of evidence theory are utilized, and the problem of non-uniqueness of fault isolation of PCA and combination explosion of evidence theory is solved. And calculation amount and complexity are reduced quit, and the simulation study on boiler feed water control system shows that the fault of sensor can be isolated correctly and effectively by this method.
Keywords :
computational complexity; fault diagnosis; principal component analysis; sensor fusion; D-S evidence theory; PCA; calculation exponent complexity; fault diagnosis method; multi-data source; principal components analysis; Analysis of variance; Character recognition; Covariance matrix; Data analysis; Explosions; Fault diagnosis; Mathematical model; Phase change materials; Power engineering; Principal component analysis; D-S evidence theory; fault diagnosis; power plant; principal components analysis;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5192199