Fuzzy Logic Based Modeling in the Complex System Fault Diagnosis

Kód výsledku v IS VaVaI

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Nalezeny alternativní kódy

RIV/61989100:27360/10:86075402

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Fuzzy Logic Based Modeling in the Complex System Fault Diagnosis

Popis výsledku v původním jazyce

This contribution deals with the model-based fault diagnosis approaches that exploit the fuzzy modeling approximation abilities to obtain the appropriate model of the monitored system. This technique makes use of the Takagi-Sugeno fuzzy model to describethe non linear dynamic system by its decomposition onto number of linear submodels, so that it is possible to overcome difficulties in conventional methods for dealing with nonlinearity. A linear residual generator formed by Kalman filters which are designed for the each of the linear subsystem is then proposed to generate diagnostic signals - residuals. Since the task is formulated on a statistical basis, the generalized likelihood ratio test is chosen as a decision making algorithm.

Název v anglickém jazyce

Fuzzy Logic Based Modeling in the Complex System Fault Diagnosis

Popis výsledku anglicky

This contribution deals with the model-based fault diagnosis approaches that exploit the fuzzy modeling approximation abilities to obtain the appropriate model of the monitored system. This technique makes use of the Takagi-Sugeno fuzzy model to describethe non linear dynamic system by its decomposition onto number of linear submodels, so that it is possible to overcome difficulties in conventional methods for dealing with nonlinearity. A linear residual generator formed by Kalman filters which are designed for the each of the linear subsystem is then proposed to generate diagnostic signals - residuals. Since the task is formulated on a statistical basis, the generalized likelihood ratio test is chosen as a decision making algorithm.

Druh

C - Kapitola v odborné knize

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Knowledge-Based Intelligent System Advancements: Systemic and Cybernetic Approaches

ISBN

978-1-61692-811-7

Počet stran výsledku

20

Strana od-do

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Počet stran knihy

350

Název nakladatele

IGI Global

Místo vydání

Hershey PA, United States of America

Kód UT WoS kapitoly

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