Tool wear forecast using Dominant Feature Identification of acoustic emissions

10.1109/CCA.2010.5611259

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Bibliographic Details
Main Authors:	Pang, C.K., Zhou, J.-H., Zhong, Z.-W., Lewis, F.L.
Other Authors:	ELECTRICAL & COMPUTER ENGINEERING
Format:	Conference or Workshop Item
Published:	2014
Subjects:	ARMAX model Least square error (LSE) Principal component analysis (PCA) Principal feature analysis (PFA) Singular value decomposition (SVD) Tool condition monitoring (TCM)
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/72037
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-72037
record_format	dspace
spelling	sg-nus-scholar.10635-720372023-10-25T21:38:18Z Tool wear forecast using Dominant Feature Identification of acoustic emissions Pang, C.K. Zhou, J.-H. Zhong, Z.-W. Lewis, F.L. ELECTRICAL & COMPUTER ENGINEERING ARMAX model Least square error (LSE) Principal component analysis (PCA) Principal feature analysis (PFA) Singular value decomposition (SVD) Tool condition monitoring (TCM) 10.1109/CCA.2010.5611259 Proceedings of the IEEE International Conference on Control Applications 1063-1068 2014-06-19T03:30:43Z 2014-06-19T03:30:43Z 2010 Conference Paper Pang, C.K., Zhou, J.-H., Zhong, Z.-W., Lewis, F.L. (2010). Tool wear forecast using Dominant Feature Identification of acoustic emissions. Proceedings of the IEEE International Conference on Control Applications : 1063-1068. ScholarBank@NUS Repository. https://doi.org/10.1109/CCA.2010.5611259 9781424453627 http://scholarbank.nus.edu.sg/handle/10635/72037 000286943900006 Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	ARMAX model Least square error (LSE) Principal component analysis (PCA) Principal feature analysis (PFA) Singular value decomposition (SVD) Tool condition monitoring (TCM)
spellingShingle	ARMAX model Least square error (LSE) Principal component analysis (PCA) Principal feature analysis (PFA) Singular value decomposition (SVD) Tool condition monitoring (TCM) Pang, C.K. Zhou, J.-H. Zhong, Z.-W. Lewis, F.L. Tool wear forecast using Dominant Feature Identification of acoustic emissions
description	10.1109/CCA.2010.5611259
author2	ELECTRICAL & COMPUTER ENGINEERING
author_facet	ELECTRICAL & COMPUTER ENGINEERING Pang, C.K. Zhou, J.-H. Zhong, Z.-W. Lewis, F.L.
format	Conference or Workshop Item
author	Pang, C.K. Zhou, J.-H. Zhong, Z.-W. Lewis, F.L.
author_sort	Pang, C.K.
title	Tool wear forecast using Dominant Feature Identification of acoustic emissions
title_short	Tool wear forecast using Dominant Feature Identification of acoustic emissions
title_full	Tool wear forecast using Dominant Feature Identification of acoustic emissions
title_fullStr	Tool wear forecast using Dominant Feature Identification of acoustic emissions
title_full_unstemmed	Tool wear forecast using Dominant Feature Identification of acoustic emissions
title_sort	tool wear forecast using dominant feature identification of acoustic emissions
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/72037
_version_	1781783238496223232

Tool wear forecast using Dominant Feature Identification of acoustic emissions

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