Bicepstrum based blind identification of the acoustic emission (AE) signal in precision turning

被引：24

作者：

Iturrospe, A

Dornfeld, D

Atxa, V

Abete, JM

机构：

[1] Mondragon, Mondragon Goi Eskola Polikeknikoa, Arrasate Mondragon 20500, Spain

[2] Univ Calif Berkeley, Dept Engn Mech, Berkeley, CA 94720 USA

来源：

MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2005年 / 19卷 / 03期

关键词：

acoustic emissions; higher-order statistics; blind identification; precision machining;

D O I：

10.1016/j.ymssp.2003.12.006

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

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 system identification 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 identification. (C) 2004 Elsevier Ltd. All rights reserved.

引用

页码：447 / 466

页数：20

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