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

fYear

2007

fDate

14-17 Sept. 2007

Firstpage

48

Lastpage

51

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/BICTA.2007.4806416

Filename

4806416