Mel Spectrogram-based advanced deep temporal clustering model with unsupervised data for fault diagnosis
Abstract: Highlights•A fault diagnosis method based on the ADTC model is proposed.•The ADTC model can extract and verify the features of unlabeled data.•The proposed model provides a method for solving the insufficient data problem.•Experiment results demonstrate the high performance of the proposed method.
External IDs:dblp:journals/eswa/HongS23
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