Data-driven Methods for Fault Localization in Process Technology

Control systems at production plants consist of a large number of process variables. When detecting abnormal behavior, these variables generate an alarm. Due to the interconnection of the plant's devices the fault can lead to an alarm flood. This again hides the original location of the causing devi...

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Автор: Kühnert, Christian
Формат: Online
Мова:Англійська
Опубліковано: KIT Scientific Publishing 2021
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Онлайн доступ:35546
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author Kühnert, Christian
author_browse Kühnert, Christian
author_facet Kühnert, Christian
author_sort Kühnert, Christian
collection Directory of Open Access Books
description Control systems at production plants consist of a large number of process variables. When detecting abnormal behavior, these variables generate an alarm. Due to the interconnection of the plant's devices the fault can lead to an alarm flood. This again hides the original location of the causing device. In this work several data-driven approaches for root cause localization are proposed, compared and combined. All methods analyze disturbed process data for backtracking the propagation path.
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spelling doab-20.500.12854ir-445572023-12-20T18:40:51Z Data-driven Methods for Fault Localization in Process Technology Kühnert, Christian QA75.5-76.95 Time series Signal processing Data Mining System identification Causality bic Book Industry Communication::U Computing & information technology::UY Computer science Control systems at production plants consist of a large number of process variables. When detecting abnormal behavior, these variables generate an alarm. Due to the interconnection of the plant's devices the fault can lead to an alarm flood. This again hides the original location of the causing device. In this work several data-driven approaches for root cause localization are proposed, compared and combined. All methods analyze disturbed process data for backtracking the propagation path. 2021-02-11T10:59:12Z 2021-02-11T10:59:12Z 2019-07-30 20:02:02 2013 book 35546 18636489 9783731500988 https://directory.doabooks.org/handle/20.500.12854/44557 eng Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe image/jpeg Attribution-ShareAlike 4.0 International https://www.ksp.kit.edu/9783731500988 KIT Scientific Publishing 10.5445/KSP/1000036427 10.5445/KSP/1000036427 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731500988 XVIII, 194 p. open access
spellingShingle QA75.5-76.95
Time series
Signal processing
Data Mining
System identification
Causality
bic Book Industry Communication::U Computing & information technology::UY Computer science
Kühnert, Christian
Data-driven Methods for Fault Localization in Process Technology
title Data-driven Methods for Fault Localization in Process Technology
title_full Data-driven Methods for Fault Localization in Process Technology
title_fullStr Data-driven Methods for Fault Localization in Process Technology
title_full_unstemmed Data-driven Methods for Fault Localization in Process Technology
title_short Data-driven Methods for Fault Localization in Process Technology
title_sort data driven methods for fault localization in process technology
topic QA75.5-76.95
Time series
Signal processing
Data Mining
System identification
Causality
bic Book Industry Communication::U Computing & information technology::UY Computer science
topic_facet QA75.5-76.95
Time series
Signal processing
Data Mining
System identification
Causality
bic Book Industry Communication::U Computing & information technology::UY Computer science
url 35546
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