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Iturrospe, A., Dornfeld, D., Atxa, V. and Abete, J. M. (2006), "Bicepstrum Based Blind Identification of the Acoustic Emission", J. Mechanical Systems and Signal Processing, 19, pp. 447-466.

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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.

SUGGESTED CITATION:
Aitzol Iturrospe, David Dornfeld, Vicente Atxa, and Jose Manuel Abete, "Bicepstrum Based Blind Identification of the Acoustic Emission " (June 1, 2006). Laboratory for Manufacturing and Sustainability. Precision Manufacturing Group. Paper iturrospe_05_1.
http://repositories.cdlib.org/lma/pmg/iturrospe_05_1