Dynamic threshold generators for robust fault detection in linear systems with parameter uncertainty

Johansson, Andréas; Bask, Michael; Norlander, T.

doi:10.1016/j.automatica.2006.02.009

Cited by 74 publications

(40 citation statements)

References 14 publications

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“…Die Idee der systematischen Auslegung von Grenzwerten geht auf [66] zurück. Erweiterungen hat das Konzept in [40,41,57,75,103,116,153,178] erfahren, wobei vielfach dynamische Grenzwerte zum Einsatz kommen, die einen besseren Kompromiss zwischen Fehlalarmen und nicht gemeldeten kritischen Situationen ermöglichen. Eine ausführlicheÜbersichẗ uber normbasierte und statistische Verfahren zur Residuenauswertung findet sich in [58, Kapitel 9 und 10].…”

Section: Grundkonzepte Der Fehlerdiagnoseunclassified

Entwurf robuster modellbasierter Fehlerisolationsfilter

Wahrburg

2014

At - Automatisierungstechnik

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Section: Grundkonzepte Der Fehlerdiagnoseunclassified

Entwurf robuster modellbasierter Fehlerisolationsfilter

Wahrburg

2014

At - Automatisierungstechnik

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“…Thus, the characteristic variables of (1), (2) and (3) can be expressed as: Then the second order ordinary differential equations simplified in terms of the time coordinates (1), (2) and (3) can be computed by the following equation: Science and Applications, Vol. 8, No.…”

Section: F T K Z X T Z T a T C Z X T Z T A T F T K Y X T Y T A T C Y mentioning

confidence: 99%

“…The early detection and isolation are very important to avoid costly breakdowns and improve equipment reliability as reported in [1] and [2]. In the past decades, various analytical, semi-analytical and numerical methods with different accuracies have been attracted much attention from research teams to investigate the rail vibrations then the diagnosis of this system and isolation of the defect [23], [24], [25] and [26].…”

Section: Introductionmentioning

confidence: 99%

Model Study and Fault Detection for the Railway System

Rawia¹,

Tlijani²,

Knani³

2017

ijacsa

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Abstract-The wheel-rail-sleepers system is simulated as a series of moving point loads on an Euler-Bernoulli beam resting on a visco-elastic half space. This paper concentrates on the railsleepers interaction system (railway system) and the fault detection. The main objective is to mathematically develop and implement a dynamic model of a railway system then the diagnosis of system defects using a Luenberger observer (LO). The simulation results are based on a physical description, mathematical equations and simulations with MATLAB simulation program.

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“…Johansson et al [9], Meseguer et al [10], Khan and Ding [11], Chen and Patton [12], Mangoubi [13], Rank and Niemann [14], and Henry and Zolghadri [15,16].…”

Section: Introductionmentioning

confidence: 99%

Unknown input observer based on LMI for robust generation residuals

Tahraoui¹,

Meghabbar²,

Boubekeur³

2017

Turk J Elec Eng & Comp Sci

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Abstract:In this paper, a method of generating robust residuals of a linear system, subject to unknown inputs, is proposed. The impact of disturbances and uncertainty may create difficulties at the decision stage of diagnosis (false alarm); this has resulted in the use of a robust observer for the unknown inputs to ensure the robustness of the system based on the unknown input observer with an optimal decoupling approach, which has a sensitivity that is minimal to unknown inputs and maximal to faults. A generation of robust residuals is then transformed into a problem of robustness/sensitivity constraints (H ∞ , H ) and then solved via a linear matrix inequality formulation by the solver CVX. An application for the method performance is also given.

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Dynamic threshold generators for robust fault detection in linear systems with parameter uncertainty

Cited by 74 publications

References 14 publications

Entwurf robuster modellbasierter Fehlerisolationsfilter

Entwurf robuster modellbasierter Fehlerisolationsfilter

Model Study and Fault Detection for the Railway System

Unknown input observer based on LMI for robust generation residuals

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