01783nam 2200361z- 450 991034706020332120231214132819.01000036427(CKB)4920000000101914(oapen)https://directory.doabooks.org/handle/20.500.12854/44557(EXLCZ)99492000000010191420202102d2013 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierData-driven Methods for Fault Localization in Process TechnologyKIT Scientific Publishing20131 electronic resource (XVIII, 194 p. p.)Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe3-7315-0098-1 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.Time seriesSignal processingData MiningSystem identificationCausalityKühnert Christianauth754943BOOK9910347060203321Data-driven Methods for Fault Localization in Process Technology3031981UNINA