Figure 4.
A workflow diagram links a mathematical model, signal transforms, a convolutional neural network, and result analysis for inter-turn short-circuit classification.The workflow diagram presents 4 main stages from left to right: Mathematical model, Fast Fourier Transform and Wavelet Transform, Convolutional neural network, and Analysis and interpretation of results. The lower section expands the stages. The F E M model includes a stator winding layout and a 3 D motor model. Signal analysis includes waveform, spectrum, and time-frequency plots. Three input signals labelled I a, I b, and I c pass into the convolutional neural network. The network contains convolution, max pooling, dropout, flatten, and dense layers. The output leads to an inter-turn short-circuit configuration with N f a equals 1, N f b equals 1, and N f c equals 2.

Signal processing chain: FEM simulation, signal preprocessing, CNN classification

Source: Authors’ own work

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