Stochastic Change Detection based on an Active Fault Diagnosis Approach

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Abstract

The focus in this paper is on stochastic change detection applied in connection with active fault diagnosis (AFD). An auxiliary input signal is applied in AFD. This signal injection in the system will in general allow to obtain a fast change detection/isolation by considering the output or an error output from the system. The classical CUSUM (cumulative sum) method will be modified such that it will be able to detect change in the signature from the auxiliary input signal in the (error) output signal. It will be shown how it is possible to apply both the gain as well as the phase change of the output vector in the CUSUM test.
Original languageEnglish
Title of host publicationProceedings of the IEEE Conference on Decision and Control
PublisherIEEE
Publication date2007
Pages346-351
ISBN (Print)978-1-4244-1497-0
DOIs
Publication statusPublished - 2007
Event46th IEEE Conference on Decision and Control - Hilton New Orleans Riverside, New Orleans, Louisiana, United States
Duration: 12 Dec 200714 Dec 2007
Conference number: 46
http://iss.bu.edu/dac/dac/cdc/index.php

Conference

Conference46th IEEE Conference on Decision and Control
Number46
LocationHilton New Orleans Riverside
CountryUnited States
CityNew Orleans, Louisiana
Period12/12/200714/12/2007
Internet address

Bibliographical note

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