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
analytic wavelet, enveloping, spindle health diagnosis, spindle vibration