Title :
Amplitude envelope analysis for feature extraction of direct-driven wind turbine bearing failure
Author :
Xin Weidong ; Liu Yibing ; He Ying ; Su Boxian
Author_Institution :
Sch. of Energy, Power & Mech. Eng., North China Electr. Power Univ., Beijing, China
Abstract :
Made use of the vibration signals of main shaft which were measured from a normal direct-driven wind turbine and a fault one, the vibration characteristics of main shaft bearing were analyzed and studied. From time domain, frequency domain and cepstrum domain, analyzed and compared the vibration signal characteristics between normal and fault units, then narrowband envelope analysis had been made. The difference of envelope spectrum for vibration signals between normal and fault units was revealed. The results show that narrowband envelope analysis can effectively identify the bearing fault state.
Keywords :
failure (mechanical); feature extraction; machine bearings; mechanical engineering computing; signal processing; wind turbines; amplitude envelope analysis; bearing fault state; direct-driven wind turbine bearing failure; fault units; feature extraction; narrowband envelope analysis; shaft bearing; vibration characteristics; vibration signals; Fault diagnosis; Generators; Rolling bearings; Rotors; Shafts; Vibrations; Wind turbines; bearing fault; direct-driven wind turbine; envelope analysis; narrowband filtering;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6358418
