Title :
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
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;
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
DOI :
10.1109/CMCE.2010.5610315
