Fault detection and isolation based on adaptive observers for linear time varying systems

Aiping Xu; Qinghua Zhang

doi:10.3182/20020721-6-ES-1901.00739

Fault detection and isolation based on adaptive observers for linear time varying systems

Aiping Xu, Qinghua Zhang

Research Institute of Computer Science and Random Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

6 Citations (Scopus)

Abstract

A new method for fault detection and isolation (FDI) in stochastic linear time varying (LTV) systems is proposed in this paper. It allows to completely isolate any number of faults regardless of the number of output sensors, thanks to an appropriate assumption on the fault profiles and to some persistent excitation condition. In contrast, most existing methods enabling complete fault isolation have been developed for linear time invariant (LTI) systems and require a strong condition on the number of sensors. The method proposed in this paper is based on a recent development for the design of adaptive observers. Its performance is illustrated by a numerical example.

Original language	English
Title of host publication	15th IFAC World Congress
Pages	47-52
Number of pages	6
Volume	35
Edition	1
DOIs	https://doi.org/10.3182/20020721-6-ES-1901.00739
Publication status	Published - 2002
Externally published	Yes
Event	15th Triennial World Congress 2002 - Barcelona, Spain Duration: 21 Jul 2002 → 26 Jul 2002 Conference number: 15

Conference

Conference	15th Triennial World Congress 2002
Country/Territory	Spain
City	Barcelona
Period	21/07/02 → 26/07/02

Keywords

Fault detection and isolation
Linear time varying system
Adaptive algorithms

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10.3182/20020721-6-ES-1901.00739

Cite this

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title = "Fault detection and isolation based on adaptive observers for linear time varying systems",

abstract = "A new method for fault detection and isolation (FDI) in stochastic linear time varying (LTV) systems is proposed in this paper. It allows to completely isolate any number of faults regardless of the number of output sensors, thanks to an appropriate assumption on the fault profiles and to some persistent excitation condition. In contrast, most existing methods enabling complete fault isolation have been developed for linear time invariant (LTI) systems and require a strong condition on the number of sensors. The method proposed in this paper is based on a recent development for the design of adaptive observers. Its performance is illustrated by a numerical example.",

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AU - Xu, Aiping

AU - Zhang, Qinghua

N1 - Conference code: 15

PY - 2002

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N2 - A new method for fault detection and isolation (FDI) in stochastic linear time varying (LTV) systems is proposed in this paper. It allows to completely isolate any number of faults regardless of the number of output sensors, thanks to an appropriate assumption on the fault profiles and to some persistent excitation condition. In contrast, most existing methods enabling complete fault isolation have been developed for linear time invariant (LTI) systems and require a strong condition on the number of sensors. The method proposed in this paper is based on a recent development for the design of adaptive observers. Its performance is illustrated by a numerical example.

AB - A new method for fault detection and isolation (FDI) in stochastic linear time varying (LTV) systems is proposed in this paper. It allows to completely isolate any number of faults regardless of the number of output sensors, thanks to an appropriate assumption on the fault profiles and to some persistent excitation condition. In contrast, most existing methods enabling complete fault isolation have been developed for linear time invariant (LTI) systems and require a strong condition on the number of sensors. The method proposed in this paper is based on a recent development for the design of adaptive observers. Its performance is illustrated by a numerical example.

KW - Fault detection and isolation

KW - Linear time varying system

KW - Adaptive algorithms

U2 - 10.3182/20020721-6-ES-1901.00739

DO - 10.3182/20020721-6-ES-1901.00739

M3 - Conference proceeding

VL - 35

SP - 47

EP - 52

BT - 15th IFAC World Congress

T2 - 15th Triennial World Congress 2002

Y2 - 21 July 2002 through 26 July 2002

ER -

Fault detection and isolation based on adaptive observers for linear time varying systems

Abstract

Conference

Keywords

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