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Spindle Health Diagnosis Based on Analytic Wavelet Enveloping



Li Zhang, Robert Gao, Kang B. Lee


A new diagnostic technique for identifying structural defects in spindles was developed, based on the analytic wavelet transform. The new technique extracts defect-induced impulses from the spindle vibration signal and constructs their envelopes in a single step, eliminating the need for intermediate operations as traditionally required. In this paper, firstly, theoretical background of the analytic wavelet transform was established. Then numerical simulation was conducted on a synthetic signal. The result was subsequently compared with vibration signals measured on a spindle test-bed. It was confirmed that the developed technique is effective in detecting defect-induced impulses buried in the spindle vibration signals that otherwise were undetectable using traditional spectral analysis techniques.
Instrumentation and Measurement
55 (5)


analytic wavelet, enveloping, spindle health diagnosis, spindle vibration


Zhang, L. , Gao, R. and Lee, K. (2006), Spindle Health Diagnosis Based on Analytic Wavelet Enveloping, Instrumentation and Measurement (Accessed May 29, 2024)


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Created September 1, 2006, Updated February 19, 2017