张法业
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Paper Publications
- [1] 姚鹏. Intelligent rolling bearing imbalanced fault diagnosis based on Mel-Frequency Cepstrum Coefficient and Convolutional Neural Networks. Measurement, 112143, 2022.
- [2] 王浩淼. Cross-domain open-set rolling bearing fault diagnosis based on feature improvement adversarial network under noise condition. Journal of Intelligent & Fuzzy Systems, 46, 5073, 2024.
- [3] 叶呈龙. Novel cross-domain fault diagnosis method based on model-agnostic meta-learning embedded in adaptive threshold network. Measurement, 113677, 2023.
- [4] 韩同卓. Novel adaptive loss weighted transfer network for partial domain fault diagnosis. ISA Transactions, 362, 2024.
- [5] 张法业. Intelligent rolling bearing compound fault diagnosis based on frequency-domain Gramian angular field and convolutional neural networks with imbalanced data. JOURNAL OF VIBRATION AND CONTROL, 2023.
- [6] 刘繁. Novel short-term low-voltage load forecasting method based on residual stacking frequency attention network. Electric Power Systems Research, 110534, 2024.
- [7] 刘福政. Fault diagnosis of rolling bearing combining improved AWSGMD-CP and ACO-ELM model. Measurement, 112531, 2023.
- [8] 李彦君. Bearing fault diagnosis method based on maximum noise ratio kurtosis product deconvolution with noise conditions. Measurement, 113542, 2023.
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