Classification and Authentication of Induction Motor Faults using Time and Frequency Feature Dependent Probabilistic Neural Network Model
A probabilistic neural network (PNN)-based robust classifier has been developed in this work for classification and authentication of induction motor faults using the features of three domains. The decomposition level of wavelet has also been selected to get highest classification accuracy, and the...
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Veröffentlicht in: | Journal of the Institution of Engineers (India). Series B, Electrical Engineering, Electronics and telecommunication engineering, Computer engineering Electrical Engineering, Electronics and telecommunication engineering, Computer engineering, 2023-06, Vol.104 (3), p.623-640 |
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