Title :
Vibration Fault Diagnosis of Hydraulic Generator Units Based on Pattern Recognition and Grey Incidence Analysis
Author :
An, Xueli ; Zhou, Jianzhong ; Liu, Li ; Fang, Rengcun ; Xiang, Xiuqiao ; Peng, Bing
Author_Institution :
Coll. of Hydroelectric & Digitalization Eng., Huazhong Univ. of Sci. & Technol., Wuhan
Abstract :
The aim of this investigation is to describe a way of grey incidence analysis to achieve vibration fault pattern recognition for hydraulic generator units. In order to recognise the fault, the collected fault data are analyzed and then standard fault pattern sets of typical vibration faults for hydraulic generator units are founded. Fault pattern recognition is performed by calculating the degree of grey incidence between the pending pattern characteristics and the standard fault pattern sets, according to the criterion for maximum degree of incidence. Results are presented which demonstrate the effectiveness of the proposed method and it can be used as an online diagnosis tool for hydraulic generator units.
Keywords :
data analysis; fault diagnosis; grey systems; hydroelectric generators; hydroelectric power stations; pattern recognition; power generation faults; vibrations; data analysis; grey incidence analysis; hydraulic generator unit vibration fault diagnosis; pattern recognition; Character generation; Condition monitoring; Fault diagnosis; Hydroelectric power generation; Pattern analysis; Pattern recognition; Performance analysis; Power generation; Power generation economics; Vibration measurement;
Conference_Titel :
Bio-Inspired Computing: Theories and Applications, 2007. BIC-TA 2007. Second International Conference on
Conference_Location :
Zhengzhou
Print_ISBN :
978-1-4244-4105-1
Electronic_ISBN :
978-1-4244-4106-8
DOI :
10.1109/BICTA.2007.4806416
