We propose a method useful for online fault detection, based on a multiscale analysis. The aim is to correct a Kalman filter when sudden instrumentation damages generate undesired and unknown polarization in the observed data. Satisfactory and encouraging results have been obtained in processing simulated data.
Fault detection and compensation in Kalman filtering / Bruni, Carlo; DE SANTIS, Alberto; Iacoviello, Daniela. - STAMPA. - (2000), pp. 230-235. ( Process Control and Instrumentation 2000 Glasgow, Scotland, UK 26-28 July 2000).
Fault detection and compensation in Kalman filtering
BRUNI, Carlo;DE SANTIS, Alberto;IACOVIELLO, Daniela
2000
Abstract
We propose a method useful for online fault detection, based on a multiscale analysis. The aim is to correct a Kalman filter when sudden instrumentation damages generate undesired and unknown polarization in the observed data. Satisfactory and encouraging results have been obtained in processing simulated data.File allegati a questo prodotto
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