WANG Xi-yang, LONG Liang, GUO Min. Study on Cutting Tool Sate Monitoring Technology Based on the Wavelet Analysis of Vibration Signals[J]. Journal of nanchang hangkong university(Natural science edition), 2011, 25(3): 42-47.
Citation: WANG Xi-yang, LONG Liang, GUO Min. Study on Cutting Tool Sate Monitoring Technology Based on the Wavelet Analysis of Vibration Signals[J]. Journal of nanchang hangkong university(Natural science edition), 2011, 25(3): 42-47.

Study on Cutting Tool Sate Monitoring Technology Based on the Wavelet Analysis of Vibration Signals

  • Cutting tool wear has close relation with the vibration signals.This paper introduces the data acquisition platform and experimental process,using the db5 discrete wavelets to analyse the milling vibration signal.It is proved that the standard deviations of the third and forth detail level signals have no various change.On the other hand,the standard deviation of the first and second detail level signals increases with the wear increase.So they can be used as characteristic parameters in the milling process monitoring.
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