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The main stages of the design methodology of the radial basis neural detectors are described. Furthermore, influence of neural networks complexity and parameters of RBF activation function on quality of data classification is shown. Presented neural detectors are tested with data obtained in laboratory setup contained of converter-fed induction motor and changeable rotors with different degree of...
This paper presents the application of the General Regression Neural Networks in the diagnostics of the induction motors. The specific fault symptoms of rotor damages included in measured stator current spectrum are proposed as elements of input vectors of GRNN. The structure and training procedure of such neural detector are described. Diagnostic results obtained by the proposed neural detector of...
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