Online fault diagnosis and state identification during process transitions using dynamic locus analysis

Chemical Engineering Science

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Bibliographic Details
Main Authors: Srinivasan, R., Sheng Qian, M.S.
Other Authors: CHEMICAL & BIOMOLECULAR ENGINEERING
Format: Article
Published: 2014
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Online Access:http://scholarbank.nus.edu.sg/handle/10635/64328
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-643282023-08-23T09:33:57Z Online fault diagnosis and state identification during process transitions using dynamic locus analysis Srinivasan, R. Sheng Qian, M.S. CHEMICAL & BIOMOLECULAR ENGINEERING Abnormal situation management Dynamic time warping Process supervision Sequence comparison Signal comparison Unsteady state operation Chemical Engineering Science 61 18 6109-6132 CESCA 2014-06-17T07:45:55Z 2014-06-17T07:45:55Z 2006-09 Article Srinivasan, R., Sheng Qian, M.S. (2006-09). Online fault diagnosis and state identification during process transitions using dynamic locus analysis. Chemical Engineering Science 61 (18) : 6109-6132. ScholarBank@NUS Repository. 00092509 http://scholarbank.nus.edu.sg/handle/10635/64328 000240307200018 Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Abnormal situation management
Dynamic time warping
Process supervision
Sequence comparison
Signal comparison
Unsteady state operation
spellingShingle Abnormal situation management
Dynamic time warping
Process supervision
Sequence comparison
Signal comparison
Unsteady state operation
Srinivasan, R.
Sheng Qian, M.S.
Online fault diagnosis and state identification during process transitions using dynamic locus analysis
description Chemical Engineering Science
author2 CHEMICAL & BIOMOLECULAR ENGINEERING
author_facet CHEMICAL & BIOMOLECULAR ENGINEERING
Srinivasan, R.
Sheng Qian, M.S.
format Article
author Srinivasan, R.
Sheng Qian, M.S.
author_sort Srinivasan, R.
title Online fault diagnosis and state identification during process transitions using dynamic locus analysis
title_short Online fault diagnosis and state identification during process transitions using dynamic locus analysis
title_full Online fault diagnosis and state identification during process transitions using dynamic locus analysis
title_fullStr Online fault diagnosis and state identification during process transitions using dynamic locus analysis
title_full_unstemmed Online fault diagnosis and state identification during process transitions using dynamic locus analysis
title_sort online fault diagnosis and state identification during process transitions using dynamic locus analysis
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/64328
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