DocumentCode
452914
Title
Wavelet-Based Enveloping for Spindle Health Diagnosis
Author
Zhang, Li ; Gao, Robert X. ; Lee, Kang B.
Author_Institution
Dept. of Mech. & Ind. Eng., Massachusetts Univ., Amherst, MA
Volume
2
fYear
2005
fDate
16-19 May 2005
Firstpage
1203
Lastpage
1208
Abstract
A new method for identifying structural defect-induced vibration signals was developed based on the analytic wavelet transform. The advantage of this method is that it extracts a defect-related impulse signal and constructs its envelope in a single step, eliminating the need for intermediate operations. Theoretical background of the analytic wavelet transform is studied. Analysis of numerically simulated and experimental vibration signals have confirmed that the developed method can successfully detect the small defect-induced impulses that are buried in the main vibration and noise signals
Keywords
machine tool spindles; signal detection; vibrations; wavelet transforms; analytic wavelet transform; defect-induced vibration signals; defect-related impulse signal; small defect-induced impulses; spindle health diagnosis; structural vibration signals; wavelet-based enveloping; Frequency; Machine tools; Manufacturing; Shafts; Signal analysis; Signal generators; Signal processing; Vibration measurement; Wavelet analysis; Wavelet transforms; Analytic wavelet; spindle health diagnosis; wavelet enveloping;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
Conference_Location
Ottawa, Ont.
Print_ISBN
0-7803-8879-8
Type
conf
DOI
10.1109/IMTC.2005.1604337
Filename
1604337
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