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- W2139950108 abstract "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. Theoretical background of the analytic wavelet transform was first introduced, and numerical simulation was then 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 the traditional spectral techniques" @default.
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- W2139950108 date "2006-10-01" @default.
- W2139950108 modified "2023-10-16" @default.
- W2139950108 title "Spindle Health Diagnosis Based on Analytic Wavelet Enveloping" @default.
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- W2139950108 doi "https://doi.org/10.1109/tim.2006.880261" @default.
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