Gear pitting fault diagnosis using disentangled features from unsupervised deep learning
2019
Effective feature extraction is critical for machinery fault diagnosis and prognosis. The use of time–frequency features for machinery fault diagnosis has prevailed in the last decade. However, mor...
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