01800nam 2200373z- 450 9910347060203321202102111000036427(CKB)4920000000101914(oapen)https://directory.doabooks.org/handle/20.500.12854/44557(oapen)doab44557(EXLCZ)99492000000010191420202102d2013 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierData-driven Methods for Fault Localization in Process TechnologyKIT Scientific Publishing20131 online 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.CausalityData MiningSignal processingSystem identificationTime seriesKühnert Christianauth754943BOOK9910347060203321Data-driven Methods for Fault Localization in Process Technology3031981UNINA