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HERO ID
6363251
Reference Type
Journal Article
Title
Tool Wear Monitoring Using Acoustic Emissions by Dominant-Feature Identification
Author(s)
Zhou, JunH; Pang, CK; Zhong, ZWei; Lewis, FL
Year
2011
Is Peer Reviewed?
Yes
Journal
I E E E Transactions on Instrumentation and Measurement
ISSN:
0018-9456
Volume
60
Issue
2
Page Numbers
547-559
DOI
10.1109/TIM.2010.2050974
Web of Science Id
WOS:000286008700023
Keywords
Auto-Regressive Moving Average with eXogenous inputs (ARMAX) model; least squares error (LSE); principal component analysis (PCA); principal feature analysis (PFA); singular value decomposition (SVD); tool condition monitoring (TCM)
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