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
Link To Document :
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