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Neural Computing and Applications

Erschienen in:

01.07.2013 | Original Article

Fuzzy logic-based induction motor protection system

verfasst von: Okan Uyar, Mehmet Çunkaş

Erschienen in: Neural Computing and Applications | Ausgabe 1/2013

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Abstract

The protection is very important to detect abnormal motor running conditions such as over current, over voltage, overload, over temperature, and so on. When a failure is sensed by the protection system, a time delay should be specified to trip the motor. In the classical systems, motors are stopped with the time delay, which is adjusted constantly without considering the fault level. This paper presents a fuzzy logic-based protection system covering six different fault parameters for induction motors. This paper focuses on a new time-delay calculation for stopping induction motor and improves the overall detection performance. The time delay is computed by fuzzy logic method according to various fault parameters when one of the failures occurs on the motor. This system is successfully tested in real-time faults on the motor, and it shows that it provides sensitive protection by fuzzy rules.

Vorheriger Artikel Analysis on equilibrium points of cellular neural networks with thresholding activation function

Nächster Artikel Self-organizing map approach for classification of mechanical and rotor faults on induction motors

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Titel: Fuzzy logic-based induction motor protection system
verfasst von: Okan Uyar
Mehmet Çunkaş
Publikationsdatum: 01.07.2013
Verlag: Springer-Verlag
Erschienen in: Neural Computing and Applications / Ausgabe 1/2013
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-012-0862-0

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