A transfer learning‐based deep convolutional neural network approach for induction machine multiple faults detection

Summary The condition monitoring of squirrel cage induction motors (SCIMs) is vital for uninterrupted production and minimum downtime. Early fault detection can boost output with minimum effort. This article combines the application of transfer learning and convolution neural network (TL‐CNN) for de...

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