Title :
Bispectrum and 1(1/2)dimensional spectrum analysis for vibration data of blower
Author :
Ren, Xueping ; Wu, Lei ; Sun, Peng
Author_Institution :
Mech. Eng. Sch., Inner Mongolia Univ. of Sci. & Technol., Baotou, China
Abstract :
The bispectrum and 1(1/2)dimensional spectrum analysis is introduced, then this method is applied to the fault diagnosis of blower. Through the nonlinear phenomenon of quadratic phase coupling is detected by the bispectrum character, and 1(1/2) dimensional spectrum analysis can extract the fault characters of vibration data of blower. The drawback of the STFT analysis, restrictions of frequency resolution, is overcome by the method. Experimental results show that the proposed method is effective in the fault diagnosis of blower.
Keywords :
condition monitoring; fault diagnosis; machinery; vibrations; bispectrum character; blower fault diagnosis; dimensional spectrum analysis; nonlinear phenomenon; quadratic phase coupling; vibration data; Educational institutions; Fault diagnosis; Mechanical engineering; Presses; Spectral analysis; Time series analysis; Vibrations; 1(1/2)dimensional spectrum; bispectrum; blower; fault diagnosis;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
DOI :
10.1109/CECNET.2011.5768759
