@inproceedings{e092c761d9074e41965f437df683a874,
title = "Feature extraction and selection in tool condition monitoring system",
abstract = "In order to predict tool state, this paper introduces the application of feature extraction and feature selection by automatic relevance determination (ARD) to explore the optimal feature set of AE signals in tool condition monitoring system(TCMS). The experiment results confirm that this selected AE feature set is more effective and efficient to recognize tool state over various cutting conditions.",
author = "Sun Jie and Hong, {G. S.} and M. Rahman and Wong, {Y. S.}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2002.; 15th Australian Joint Conference on Artificial Intelligence, AI 2002 ; Conference date: 02-12-2002 Through 06-12-2002",
year = "2002",
doi = "10.1007/3-540-36187-1_43",
language = "English",
isbn = "3540001972",
series = "Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)",
publisher = "Springer Verlag",
pages = "487--497",
editor = "Bob McKay and John Slaney",
booktitle = "AI 2002",
}