Data-Driven Design of Fault-Tolerant Control Systems

Ding, Steven X.; Wang, Yulei; Yin, Shen; Zhang, Ping; Chen, Xiaolu; Ding, E.L.

doi:10.3182/20120829-3-mx-2028.00125

Cited by 28 publications

(40 citation statements)

References 13 publications

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“…There exists a promising method of diagnosis in linear and nonlinear systems known as "model-free" or "data-driven" method (see, for example, the paper [8,16,17]). The feature of this method is that parameters of the system under consideration may be unknown.…”

Section: Introduction (Heading 1)mentioning

confidence: 99%

Fault diagnosis in analog electrical circuits: data-driven method

Zhirabok

Баранов

2013

2013 International Conference on Process Control (PC)

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The paper is devoted to the problem of fault detection in analog electrical circuits described by linear or nonlinear polynomial models. So-called data-driven method for fault detection is considered. This method assumes that parameters of the circuit under consideration may be unknown. It does not use methods of identification and allows checking whether or not parameters of some elements deviate considerably from their nominal values.

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Section: Introduction (Heading 1)mentioning

confidence: 99%

Fault diagnosis in analog electrical circuits: data-driven method

Zhirabok

Баранов

2013

2013 International Conference on Process Control (PC)

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“…There exists a promising method of fault diagnosis known as "model-free" or "data-driven" method developed for fault detection in technical systems described by linear models mainly [1,4,5,15,17]. The feature of this method is that parameters of the system under consideration may be unknown.…”

Section: Introductionmentioning

confidence: 99%

“…The peculiarity of the method developed in [1,4,15] lies in the fact that it allows to detect faults only but not isolate. However, many practical applications need in more precise information about the faults, i.e.…”

Section: Introductionmentioning

confidence: 99%

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Fault Isolation in Technical Systems by Data-Driven Method

Zhirabok¹,

Filaretov²,

Pavlov

2016

DAAAM Proceedings

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The paper is devoted to the problem of fault isolation in technical systems described by linear dynamic models. The data-driven method providing a possibility to consider the systems with unknown parameters is used. To isolate faults, the special parallel decomposition of the initial system is suggested. This decomposition contains several subsystems such that the i-th subsystem is free from the i-th fault. This property allows to consider the faults independently of one another and to develop the fault isolation procedure. To construct such decomposition, special algorithm is suggested. To apply the data-driven method, each subsystem should be transformed into well-known identification canonical form. The theoretical results are illustrated by the example.

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“…There exists a promising method of fault diagnosis in technical systems known as non-parametric, or model-free, or data-driven method (see, for example, the paper [1,4,6,9,18,24] and the book [5]). The feature of this method is that some parameters of the system under consideration may be unknown.…”

Section: Introductionmentioning

confidence: 99%

Fault Isolation in Technical Systems Based on Non-parametric Method

Zhirabok¹,

Filaretov²,

Shumsky³

2017

DAAAM Proceedings

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The paper is devoted to the fault isolation problem in technical systems described by nonlinear dynamic models. So-called non-parametric method is used to solve the problem. The feature of this method is that parameters of the system under consideration may be unknown. To apply this method, the system is transformed into the input-out form. The methods to obtain such a transformation and to isolate faults are suggested. They are based on so-called logic-dynamic approach. The feature of this approach is that the system transformation and fault isolation problems for nonlinear systems are solved by methods of linear algebra. The adaptive threshold is used to avoid a false alarm. The theoretical results are illustrated by practical example of diagnosis of general electric servoactuator.

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Data-Driven Design of Fault-Tolerant Control Systems

Cited by 28 publications

References 13 publications

Fault diagnosis in analog electrical circuits: data-driven method

Fault diagnosis in analog electrical circuits: data-driven method

Fault Isolation in Technical Systems by Data-Driven Method

Fault Isolation in Technical Systems Based on Non-parametric Method

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