ICA based separation of chatter symptom signals for precision hole boring processing

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Journal of Vibration and Shock ›› 2013, Vol. 32 ›› Issue (9) : 5-9.

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ICA based separation of chatter symptom signals for precision hole boring processing

LI Xin，MEI De-qing，CHEN Zi-chen

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Abstract

Chatter often occurs during the precision hole boring processing, and it results in low quality of finished surface. Recognizing chatter symptom rapidly and exactly is the most important premise for chatter prediction and suppression. In order to accomplish boring chatter symptom separation from the vibration signal of the intelligent boring bar during boring process, an ICA based method was proposed. According to the characteristics of chatter signals, EMD was introduced to decompose the vibration signal of the intelligent boring bar. Then, the IMFs virtual channels were constructed and signal-noise separation was accomplished by ICA, and the chatter symptom signal was gained. The experimental results show that the EMD-ICA based vibration signal processing can separate the chatter symptom signal rapidly and effectively, and this can provide foundation for follow-up chatter prediction and suppression, and improve the high quality surface of the workpieces.

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precision hole boring processing / chatter / EMD / ICA / signal-noise separation

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LI Xin;MEI De-qing;CHEN Zi-chen. ICA based separation of chatter symptom signals for precision hole boring processing[J]. Journal of Vibration and Shock, 2013, 32(9): 5-9