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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Book Chapter |
| Published: |
KIT Scientific Publishing
2013
|
| Subjects: | |
| Online Access: | Get Fullteks DOAB: description of the publication |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 01561naaaa2200289uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_44557 | ||
| 005 | 20210211 | ||
| 020 | |a KSP/1000036427 | ||
| 020 | |a 9783731500988 | ||
| 024 | 7 | |a 10.5445/KSP/1000036427 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 100 | 1 | |a Kühnert, Christian |4 auth | |
| 245 | 1 | 0 | |a Data-driven Methods for Fault Localization in Process Technology |
| 260 | |b KIT Scientific Publishing |c 2013 | ||
| 300 | |a 1 electronic resource (XVIII, 194 p. p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-sa/4.0/ | ||
| 546 | |a English | ||
| 653 | |a Time series | ||
| 653 | |a Signal processing | ||
| 653 | |a Data Mining | ||
| 653 | |a System identification | ||
| 653 | |a Causality | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://www.ksp.kit.edu/9783731500988 |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/44557 |7 0 |z DOAB: description of the publication |