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Bicepstrum Based Blind Identification of the Acoustic Emission

  • Author(s): Iturrospe, Aitzol
  • Dornfeld, David
  • Atxa, Vicente
  • Abete, Jose Manuel
  • et al.
Abstract

It is believed that the Acoustic Emissions (AE) signal contains potentially valuable information for monitoring precision cutting processes, as well as to be employed as a control feedback signal. However, AE stress waves produced in the cutting zone are distorted by the transmission path and the measurement systems. In this article, a bicepstrum based blind deconvolution technique is proposed as a valid tool for estimating both, transmission path and sensor impulse response. Assumptions under which application of bicepstrum is valid are discussed and diamond turning experiments are presented, which demonstrate the feasibility of employing bicepstrum for AE blind deconvolution.

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