REAL-TIME CONDITION MONITORING BY SIGNIFICANT AND NATURAL FREQUENCIES ANALYSIS OF VIBRATION SIGNAL WITH WAVELET FILTER AND AUTOCORRELATION ENHANCEMENT
✍ Scribed by G.Y. LUO; D. OSYPIW; M. IRLE
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 477 KB
- Volume
- 236
- Category
- Article
- ISSN
- 0022-460X
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✦ Synopsis
Vibration signals from machining processes contain very useful information and o!er excellent possibilities for in-process condition monitoring. Signi"cant and natural frequencies in vibration signals re#ect the inherent property of the system. Any change in the condition will result in the change in these frequencies. The time}frequency localization of the wavelet transform makes it very useful in signal processing, so that it can be used in "lter design. In this paper, the wavelet "lter with very narrow frequency-band and autocorrelation enhancement is proposed as a means of monitoring the natural frequencies in real-time.
With the e$cient, reliable and #exible wavelet "lters, any number of natural frequencies in either the time or the frequency domain can be observed at the same time. After "ltering, the signal with a single central frequency is enhanced by an autocorrelation algorithm in the time domain. This can provide real-time monitoring based on the changes of signi"cant and natural frequencies, corresponding to the change in conditions.
2000 Academic Press