Auxiliary signal design for rapid multi-model identification using optimization

Campbell, Stephen L.; Horton, Kirk; Nikoukhah, Ramine

doi:10.1016/s0005-1098(02)00040-7

Cited by 44 publications

(26 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The area of active fault diagnosis (AFD) has been considered in a number of papers (Campbell, Horton and Nikoukhah, 2002;Campbell, Horton, Nikoukhah and Delebecque, 2000;Campbell and Nikoukhah, 2004b;Kerestecioglu and Zarrop, 1994;Niemann, 2006;Nikoukhah, 1994;Nikoukhah, 1998; and books (Campbell and Nikoukhah, 2004a;Kerestecioglu, 1993;Zhang, 1989).…”

Section: Introductionmentioning

confidence: 99%

Active Fault Diagnosis Based on Stochastic Tests

Poulsen¹,

Niemann²

2008

International Journal of Applied Mathematics and Computer Science

View full text Add to dashboard Cite

Active Fault Diagnosis Based on Stochastic TestsThe focus of 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 us to obtain a fast change detection/isolation by considering the output or an error output from the system. The classical cumulative sum (CUSUM) test will be modified with respect to the AFD approach applied. The CUSUM method will be altered such that it will be able to detect a change in the signature from the auxiliary input signal in an (error) output signal. It will be shown how it is possible to apply both the gain and the phase change of the output signal in CUSUM tests. The method is demonstrated using an example.

show abstract

Section: Introductionmentioning

confidence: 99%

Active Fault Diagnosis Based on Stochastic Tests

Poulsen¹,

Niemann²

2008

International Journal of Applied Mathematics and Computer Science

View full text Add to dashboard Cite

show abstract

“…The interest in using active fault diagnosis in dynamic systems has been increasing doing recent years; see, e.g., [2]- [5], [9], [10], [13], [14].…”

Section: Introductionmentioning

confidence: 99%

A Setup for Active Fault Diagnosis

Niemann

2006

IEEE Trans. Automat. Contr.

130

View full text Add to dashboard Cite

Abstract-A setup for active fault diagnosis (AFD) of parametric faults in dynamic systems is formulated in this note. It is shown that it is possible to use the same setup for both open loop systems, closed-loop systems based on a nominal feedback controller as well as for closed-loop systems based on a reconfigured feedback controller. This will make the proposed AFD approach very useful in connection with fault tolerant control (FTC). The setup will make it possible to let the fault diagnosis part of the fault tolerant controller remain unchanged after a change in the feedback controller. The setup for AFD is based on the Youla-Jabr-Bongiorno-Kucera (YJBK) parameterization of all stabilizing feedback controllers and the dual YJBK parameterization. It is shown that the AFD is based directly on the dual YJBK transfer function matrix. This matrix will be named the fault signature matrix when it is used in connection with AFD.Index Terms-Active fault diagnosis (AFD), controller reconfiguration, dual Youla-Jabr-Bongiorno-Kucera (YJBK) parameterization, feedback control systems.

show abstract

“…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%

“…This approach has been applied in e.g. [1]. The main issue in this paper is to apply a multimodel approach in connection with the AFD set-up derived in [10], [11].…”

Section: Introductionmentioning

confidence: 99%

A Multi-Model Approach for System Diagnosis

Niemann

Poulsen

Bsekgaard

2007

2007 American Control Conference

View full text Add to dashboard Cite

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.

show abstract

Auxiliary signal design for rapid multi-model identification using optimization

Cited by 44 publications

References 5 publications

Active Fault Diagnosis Based on Stochastic Tests

Active Fault Diagnosis Based on Stochastic Tests

A Setup for Active Fault Diagnosis

A Multi-Model Approach for System Diagnosis

Contact Info

Product

Resources

About