Detection signal design for failure detection: a robust approach

Nikoukhah, Ramine; Campbell, Stephen L.; Delebecque, F.

doi:10.1002/1099-1115(200011)14:7<701::aid-acs617>3.0.co;2-6

Cited by 56 publications

(34 citation statements)

References 8 publications

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“…The area of active fault diagnosis (AFD) has been considered in a number of books [3], [6], [16] and in papers [1], [2], [4], [13], [12], [14]. Further, in [9], an AFD approach has been considered for closed-loop systems.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Model Approach for System Diagnosis

Niemann

Poulsen

Bsekgaard

2007

2007 American Control Conference

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Abstract-A multi-model approach for system diagnosis is presented in this paper. The relation with fault diagnosis as well as performance validation is considered. The approach is based on testing a number of pre-described models and find which one is the best. It is based on an active approach, i.e. an auxiliary input to the system is applied. The multi-model approach is applied on a wind turbine system.

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Section: Introductionmentioning

confidence: 99%

A Multi-Model Approach for System Diagnosis

Niemann

Poulsen

Bsekgaard

2007

2007 American Control Conference

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“…(Campbell and Nikoukhah, 2004;Nikoukhah et al, 2000) and the reference herein. AFD can result in a fast fault detection and/or isolation.…”

Section: Introductionmentioning

confidence: 99%

Active Fault Diagnosis in Closed-Loop Systems

Niemann¹,

Poulsen

2005

IFAC Proceedings Volumes

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Active fault diagnosis (AFD) of parametric faults is considered in connection with closed loop feedback systems. AFD involves auxiliary signals applied on the closed loop system. A fault signature matrix is introduced in connection with AFD and it is shown that if a limited number of faults can occur in the system, a fault separation in the fault signature matrix can be obtained. Then the single elements in the matrix only depend of a reduced number of parametric faults. This can directly be applied for fault isolation. If it is not possible to obtain this separation, it is shown how the fault signature matrix can be applied for a dynamical fault isolation, i.e. fault isolation based on the dynamic characteristic of the fault signature matrix as function of the different parametric faults.

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“…As it can be seen from (16), (17), S(θ) is very important in connection with residual signal r q . Equivalent with the definition of fault signature for additive faults, [6], S(θ) will be called the fault signature matrix for parametric faults, [9].…”

Section: Active Fault Diagnosismentioning

confidence: 99%

“…Instead of using the fault signature matrix directly in connection with fault isolation, let's consider the fault signature matrix given by (17), where the pre-and postfilters Q FDI,I and Q FDI,O , have been included. The design of Q FDI,I and Q FDI,O must be done such that an isolation (separation) of the parametric faults can be done directly by considering S Q (θ), when it is possible.…”

Section: S(θmentioning

confidence: 99%

“…Using a dedicated external input vector on the system will in general result in a much better and faster fault diagnosis. One active fault diagnosis method has been described in [3], [4], [16], [17]. The active fault diagnosis method described in [3], [4], [16], [17] is based on an offline design of the auxiliary signal applied on the system followed by on-line tests.…”

Section: Introductionmentioning

confidence: 99%

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Fault tolerant control based on active fault diagnosis

Niemann

Proceedings of the 2005, American Control Conference, 2005.

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Abstract-An active fault diagnosis (AFD) method will be considered in this paper in connection with a Fault Tolerant Control (FTC) architecture based on the YJBK parameterization of all stabilizing controllers. The architecture consists of a fault diagnosis (FD) part and a controller reconfiguration (CR) part. The FTC architecture can be applied for additive faults, parametric faults, and for system structural changes. Only parametric faults will be considered in this paper.The main focus in this paper is on the use of the new approach of active fault diagnosis in connection with FTC. The active fault diagnosis approach is based on including an auxiliary input in the system. A fault signature matrix is introduced in connection with AFD, given as the transfer function from the auxiliary input to the residual output. This can be considered as a generalization of the passive fault diagnosis case, where the diagnosis is only based on a residual vector. The fault diagnosis is then derived by on-line tests by using the residual vector.

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Detection signal design for failure detection: a robust approach

Cited by 56 publications

References 8 publications

A Multi-Model Approach for System Diagnosis

A Multi-Model Approach for System Diagnosis

Active Fault Diagnosis in Closed-Loop Systems

Fault tolerant control based on active fault diagnosis

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