The way of available signal extraction from the vibration on wind power generator

Author

Wei, Wang ; Yuhua, Wang ; Shirong, Wang

Author_Institution

Coll. of Electr. & Electron. Eng., ChangChun Univ. of Technol., Changchun, China

Volume

3

fYear

2010

fDate

24-26 Aug. 2010

Firstpage

349

Lastpage

351

Abstract

Rapid promotion of wind power generation makes the generator being more and more concerns about reliable in working. The vibration is one of the functioning indicators of generator, at the same time it can be used in judging the cause of fault and locating the fault position in generator and providing the reference for balancing the rotor. In this paper, wavelet analysis is used in separating the vibration signal on the generator, available or fault signals can be pick-up from many interfere signals effectively. MATLAB simulation proves the validity and applicability of this method.

Keywords

fault location; feature extraction; power generation faults; signal processing; vibrations; wavelet transforms; wind power plants; fault position; fault signals; rotor balancing; signal extraction; vibration signal; wavelet analysis; wind power generation; Computer languages; Wavelet transforms analysis; vibration; wind power generator;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4244-7957-3

Type

conf

DOI

10.1109/CMCE.2010.5610315

Filename

5610315