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
关键词	Rotating Machinery bearings Wavelet algorithm Hilbert demodulation
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.
会议录	COMPUTING, CONTROL AND INDUSTRIAL ENGINEERING IV
会议录出版者	TRANS TECH PUBLICATIONS LTD
会议录出版地	LAUBLSRUTISTR 24, CH-8717 STAFA-ZURICH, SWITZERLAND
语种	英语
WOS研究方向	Automation & Control Systems ; Engineering ; Materials Science
WOS记录号	WOS:000336001800096
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36786]
专题	电气工程与信息工程学院
通讯作者	Luo Dongsong
作者单位	Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Luo Dongsong,Fan Zheng. Wavelet algorithm in Rotating Machinery Fault Feature Extraction[C]. 见:.