Tool Failure Detection Based on Analysis of Acoustic Emission Signals

Krzysztof Jemielniak , Otman Otman

Abstract

Acoustic emission (AE) is considered one of the main methods of on-line detection of catastrophic tool failure (CTF). Some strategies have claimed a subsequent increase of the root mean square value of the AE signal (AERMS) which in turn has been used as a measure of the CTF. However this measure was found to be not always sensitive to CTF. The aim of this paper is to present a method of the catastrophic tool failure detection in turning which uses symptoms other than the direct AERMS signal. The method is based on the statistical analysis of the distributions of the AERMS signal. The beta distribution which was assumed in this study has been used with a density function of two parameters. The skews and kurtosis of the beta distribution were the main measures employed. They were found to be highly sensitive to changes in tool condition and have given promising results with regard to chipping and tool breakage detection
Author Krzysztof Jemielniak ITW
Krzysztof Jemielniak,,
- The Institute of Manufacturing Processes
, Otman Otman
Otman Otman,,
-
Journal seriesJournal of Materials Processing Technology, ISSN 0924-0136
Issue year1998
Vol76
No1-3
Pages192-197
Publication size in sheets0.5
Keywords in PolishKatastroficzne stępienie ostrza, wykrywanie, emisja akustyczna
Keywords in EnglishCatastrophic tool failure, detection, acoustic emission
DOIDOI:10.1016/S0924-0136(97)00379-8
URL http://www.cim.pw.edu.pl/kjemiel/docs/Tool%20failure%20detection%20based%20on%20AE.pdf
Languagepl polski
Score (nominal)35
Publication indicators WoS Impact Factor [Impact Factor WoS]: 2006 = 0.615 (2) - 2007=1.133 (5)
Citation count*61 (2015-05-22)
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