Title :
Selection of De-noising Methods of Signals in Fault Diagnosis of Motor
Author :
Tian, Mu-Ling ; Wang, Xiao-Ling
Author_Institution :
Taiyuan Univ. of Technol., Taiyuan, China
fDate :
June 30 2009-July 2 2009
Abstract :
The fluctuated thresholds de-noising methods is common as well as good de-noise way in fault diagnosis of motor. The de-noising method with improved fluctuated thresholds has been applied in fault diagnosis of motor in this article. The method is proved that it has good de-noising effect by analyzing concrete example and comparing of data.
Keywords :
electric motors; fault diagnosis; signal denoising; fault diagnosis; fluctuated thresholds; motor; signal denoising methods; Concrete; Data acquisition; Fault diagnosis; Frequency; Noise reduction; Nonlinear distortion; Signal analysis; Signal processing; Statistical analysis; Wavelet coefficients; de-noising method with improved fluctuated thresholds; fault diagnosis of motor; signal to noise ratio; wavelet de-noise;
Conference_Titel :
New Trends in Information and Service Science, 2009. NISS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3687-3
DOI :
10.1109/NISS.2009.32
