Stochastic Change Detection based on an Active Fault Diagnosis Approach

Niels Kjølstad Poulsen; Hans Henrik Niemann

doi:10.1109/CDC.2007.4434429

Stochastic Change Detection based on an Active Fault Diagnosis Approach

Niels Kjølstad Poulsen, Hans Henrik Niemann

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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 language	English
Title of host publication	Proceedings of the IEEE Conference on Decision and Control
Publisher	IEEE
Publication date	2007
Pages	346-351
ISBN (Print)	978-1-4244-1497-0
DOIs	https://doi.org/10.1109/CDC.2007.4434429
Publication status	Published - 2007
Event	46th IEEE Conference on Decision and Control - Hilton New Orleans Riverside, New Orleans, Louisiana, United States Duration: 12 Dec 2007 → 14 Dec 2007 Conference number: 46 http://iss.bu.edu/dac/dac/cdc/index.php

Conference

Conference	46th IEEE Conference on Decision and Control
Number	46
Location	Hilton New Orleans Riverside
Country/Territory	United States
City	New Orleans, Louisiana
Period	12/12/2007 → 14/12/2007
Internet address	http://iss.bu.edu/dac/dac/cdc/index.php

Bibliographical note

Copyright: 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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title = "Stochastic Change Detection based on an Active Fault Diagnosis Approach",

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.",

author = "Poulsen, {Niels Kj{\o}lstad} and Niemann, {Hans Henrik}",

note = "Copyright: 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE; 46th IEEE Conference on Decision and Control, 46th CDC ; Conference date: 12-12-2007 Through 14-12-2007",

year = "2007",

doi = "10.1109/CDC.2007.4434429",

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ER -

Stochastic Change Detection based on an Active Fault Diagnosis Approach

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