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...
Збережено в:
| Автор: | |
|---|---|
| Формат: | Online |
| Мова: | Англійська |
| Опубліковано: |
KIT Scientific Publishing
2021
|
| Предмети: | |
| Онлайн доступ: | 35546 |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|
| _version_ | 1869529209500598272 |
|---|---|
| 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. |
| format | Online |
| id | doab-20.500.12854ir-44557 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| 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 |
| work_keys_str_mv | AT kuhnertchristian datadrivenmethodsforfaultlocalizationinprocesstechnology |