IDENTIFICATION OF ANALYTICAL REDUNDANCY RELATIONS DESIGN FOR SENSOR FAULT DIAGNOSIS OF A WASTEWATER TREATMENT STATION

Abstract: This article deals with identification design for sensor fault diagnosis of a wastewater treatment station. First, we established a physical model of this station by simplifying and linearizing the model ASM1 (Henze et al., 1987). Then, we study the measurement values in order to find other redundancy equations. Multiple linear regression allowed the determination of a static black box type model, coherent with the physical model. The addition of temporal lags between the signals makes possible to improve the performances of this model. We show finally the use of this model for detection-localization of faults measurements