Intelligent Diagnosis and Prognosis of Tool Wear Using Dominant Feature Identification

10.1109/TII.2009.2023318

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Bibliographic Details
Main Authors:	Zhou, J.-H., Pang, C.K., Lewis, F.L., Zhong, Z.-W.
Other Authors:	ELECTRICAL & COMPUTER ENGINEERING
Format:	Article
Published:	2014
Subjects:	Least square error (LSE) Principal component analysis (PCA) Principal feature analysis (PFA) Recursive least squares (RLS) Singular value decomposition (SVD)
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/56357
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Institution:	National University of Singapore

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spelling	sg-nus-scholar.10635-563572023-10-29T23:04:09Z Intelligent Diagnosis and Prognosis of Tool Wear Using Dominant Feature Identification Zhou, J.-H. Pang, C.K. Lewis, F.L. Zhong, Z.-W. ELECTRICAL & COMPUTER ENGINEERING Least square error (LSE) Principal component analysis (PCA) Principal feature analysis (PFA) Recursive least squares (RLS) Singular value decomposition (SVD) 10.1109/TII.2009.2023318 IEEE Transactions on Industrial Informatics 5 4 454-464 2014-06-17T02:53:41Z 2014-06-17T02:53:41Z 2009-11 Article Zhou, J.-H., Pang, C.K., Lewis, F.L., Zhong, Z.-W. (2009-11). Intelligent Diagnosis and Prognosis of Tool Wear Using Dominant Feature Identification. IEEE Transactions on Industrial Informatics 5 (4) : 454-464. ScholarBank@NUS Repository. https://doi.org/10.1109/TII.2009.2023318 15513203 http://scholarbank.nus.edu.sg/handle/10635/56357 000271491000009 Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Least square error (LSE) Principal component analysis (PCA) Principal feature analysis (PFA) Recursive least squares (RLS) Singular value decomposition (SVD)
spellingShingle	Least square error (LSE) Principal component analysis (PCA) Principal feature analysis (PFA) Recursive least squares (RLS) Singular value decomposition (SVD) Zhou, J.-H. Pang, C.K. Lewis, F.L. Zhong, Z.-W. Intelligent Diagnosis and Prognosis of Tool Wear Using Dominant Feature Identification
description	10.1109/TII.2009.2023318
author2	ELECTRICAL & COMPUTER ENGINEERING
author_facet	ELECTRICAL & COMPUTER ENGINEERING Zhou, J.-H. Pang, C.K. Lewis, F.L. Zhong, Z.-W.
format	Article
author	Zhou, J.-H. Pang, C.K. Lewis, F.L. Zhong, Z.-W.
author_sort	Zhou, J.-H.
title	Intelligent Diagnosis and Prognosis of Tool Wear Using Dominant Feature Identification
title_short	Intelligent Diagnosis and Prognosis of Tool Wear Using Dominant Feature Identification
title_full	Intelligent Diagnosis and Prognosis of Tool Wear Using Dominant Feature Identification
title_fullStr	Intelligent Diagnosis and Prognosis of Tool Wear Using Dominant Feature Identification
title_full_unstemmed	Intelligent Diagnosis and Prognosis of Tool Wear Using Dominant Feature Identification
title_sort	intelligent diagnosis and prognosis of tool wear using dominant feature identification
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/56357
_version_	1781781159636631552

Intelligent Diagnosis and Prognosis of Tool Wear Using Dominant Feature Identification

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