Fuzzy-logic fault diagnosis of industrial process actuators

Kościelny, Jan Maciej; Syfert, Michał; Bartyś, Michał

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Title: Fuzzy-logic fault diagnosis of industrial process actuators

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AMCS, volume 9 (1999)

Abstract:

The paper presents an idea of decomposition of diagnostic tasks in complex systems. Such decomposition consists in splitting basic diagnostic functions into lower-level units existing in decentralised structures of automatic control and supervision of the process. An example of a unit that realises this concept and includes a positioner that controls and diagnoses an assembly consisting of a servomotor and a pneumatic control valve is also given. An application of fuzzy logic to the actuator diagnosing algorithm is presented and results of the corresponding fault detection tests in an industrial environment are discussed.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Resource Identifier:

oai:zbc.uz.zgora.pl:58190

Pages:

653-666

Source:

AMCS, volume 9, number 3 (1999) ; click here to follow the link

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego

Subject and keywords:

fault diagnosis fuzzy logic actuators decentralised diagnostic systems

Object collections:

Digital Library of Zielona Góra > Repository > Faculties > Faculty of Computer, Electrical and Control Engineering

Digital Library of Zielona Góra > Repository > Types of work > Articles

Digital Library of Zielona Góra > Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (1999)

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Jan 22, 2021

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https://www.zbc.uz.zgora.pl/publication/64807

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International Journal of Applied Mathematics and Computer Science (AMCS)

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Fuzzy-logic fault diagnosis of industrial process actuators	Sep 3, 2021

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