Fuzzy Logic Based Modeling in the Complex System Fault Diagnosis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86075402" target="_blank" >RIV/61989100:27240/10:86075402 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27360/10:86075402
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Fuzzy Logic Based Modeling in the Complex System Fault Diagnosis
Original language description
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.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Knowledge-Based Intelligent System Advancements: Systemic and Cybernetic Approaches
ISBN
978-1-61692-811-7
Number of pages of the result
20
Pages from-to
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Number of pages of the book
350
Publisher name
IGI Global
Place of publication
Hershey PA, United States of America
UT code for WoS chapter
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