On Optimal Sensor Locations for Anomaly Diagnosis

Abstract

The anomaly diagnosis for a system is important to assure the safety operation of the system and the improvement of an availability.
This paper discusses the optimal sensor location for the linear dynamical system, whose anomaly model is assumed as a dynamics step, based on the Kullback's information criterion such that the anomaly is detected as quickly and as accurately as possible. The proposed method is also shown to be reasonable from the viewpoint of the generalized likelihood ratio (GLR) detection method.
Furthermore, the proposed sensor location is applied to the anomaly diagnosis of actuator and plant and shown that the sensor location is also effective for the anomaly diagnosis whereas it is synthesized based on the dynamics step anomaly model.