Details

Title

Rotor fault detector of the converter-fed induction motor based on RBF neural network

Journal title

Bulletin of the Polish Academy of Sciences: Technical Sciences

Yearbook

2014

Numer

No 1 March

Publication authors

Divisions of PAS

Nauki Techniczne

Abstract

Abstract This paper deals with the application of the Radial Basis Function (RBF) networks for the induction motor fault detection. The rotor faults are analysed and fault symptoms are described. Next the main stages of the design methodology of the RBF-based neural detectors are described. These networks are trained and tested using measurement data of the stator current (MCSA). The efficiency of developed RBF-NN detectors is evaluated. Furthermore, influence of neural networks complexity and parameters of the RBF activation function on the quality of data classification is shown. The presented neural detectors are tested with measurement data obtained in the laboratory setup containing the converter-fed induction motor (IM) and changeable rotors with a different degree of damages

Publisher

Polish Academy of Sciences

Date

2014

Identifier

ISSN 0239-7528, eISSN 2300-1917

DOI

10.2478/bpasts-2014-0008

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