📫 学术镜像
📫 WOS
📫 Scopus
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Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Diagnosis
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Journals of Prognostics and Health Management（智能故障诊断和寿命预测期刊）
- Fault diagnosis for small samples based on attention mechanism
- 基于Laplace小波卷积和BiGRU的少量样本故障诊断方法
Rolling Bearing Sub-Health Recognition via Extreme Learning Machine Based on Deep Belief Network Optimized by Improved Fireworks
- Deep Residual Shrinkage Networks for Fault Diagnosis. paper code
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling. paper code
- Deep discriminative transfer learning network for cross-machine fault diagnosis. paper code
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis. paper code
- Capsule network for fault diagnosis. paper code
- Milling chatter recognition. code
- A fault diagnosis method for rotating machinery based on CNN with mixed information. paper code
- CNN parameter design based on fault signal analysis and its application in bearing fault diagnosis. paper code
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis. paper code
- A blind deconvolution algorithm based on backward automatic differentiation and its application to rolling bearing fault diagnosis. paper code
- xLSTM for Intelligent Fault Diagnosis of Rolling Bearings. code
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