zggg1p / A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu
Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide First-layer Kernel is used to extract features to classify the health conditions.
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There have been 2 releases, the latest one was published on 2022-03-25 (2 years ago) with the name A Domain Adaption Transfer Learning Bearing Fault Diagnosis Model Based on Wide Convolution Deep Neural Network v2.0.
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updated: 2024-11-27 @ 01:31pm, id: 420853505 / R_kgDOGRW3AQ