Wavelet algorithm in rotating machinery fault feature extraction

doi:10.4028/www.scientific.net/AMR.823.451

	Wavelet algorithm in rotating machinery fault feature extraction
	Luo, Dongsong; Fan, Zheng
	2013
会议日期	October 27, 2013 - October 28, 2013
会议地点	Wuhan, Hubei, China
关键词	Algorithms Bearings (structural) Demodulation Feature extraction Frequency bands Industrial engineering Optical variables measurement Wavelet transforms Different frequency Frequency resolutions Hilbert Industrial production Production industries Spectral characteristics Vibration acceleration Wavelet algorithms
卷号	823
DOI	10.4028/www.scientific.net/AMR.823.451
页码	451-455
英文摘要	A method of Rotating Machinery fault feature extraction based on wavelet transform and Hilbert demodulation is been studied. On the basis of rotating machinery fault mechanism and spectral characteristics, wavelet transform is used to be decompose the vibration acceleration signals of bearing faults into different frequency bands, Which is then used to achieve accurate fault information by Hilbert demodulation. The result shows the method can effectively improve the frequency resolution and realize accurate extraction of fault feature, and it has certain practical value for industrial production of rotating machinery faults diagnosis when applied to the production industry. © (2013) Trans Tech Publications, Switzerland.
会议录	Advanced Materials Research
会议录出版者	Trans Tech Publications Ltd, Kreuzstrasse 10, Zurich-Durnten, CH-8635, Switzerland
语种	英语
ISSN号	10226680
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117661]
专题	电气工程与信息工程学院
作者单位	College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
推荐引用方式 GB/T 7714	Luo, Dongsong,Fan, Zheng. Wavelet algorithm in rotating machinery fault feature extraction[C]. 见:. Wuhan, Hubei, China. October 27, 2013 - October 28, 2013.