A multi sensor data fusion approach to fualt diagnosis of CSTR

Multi sensor data fusion has played a significant role in diverse areas. Various multi sensor data fusion methods have been extensively investigated by researchers. In this work, measured data derived from 5 installed sensors are addressed as individual evidences to infer process situation for a ser...

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Bibliographische Detailangaben

Hauptverfasser:	Delbari, M, Salahshoor, K
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Chemical reactors Cooling CSTR data fusion dempster-shafer evidence Fault detection Feature extraction feature matrix Fuses Inductors multi sensor Temperature sensors
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