张法业
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Paper Publications
- [25] 刘福政. Fault diagnosis of rolling bearing combining improved AWSGMD-CP and ACO-ELM model. Measurement: Journal of the International Measurement Confederation, 209, 2023.
- [26] 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.
- [27] 李伟. 基于深度置信网络铝合金加筋板冲击损伤识别. 《振动、测试与诊断》, 43, 88, 2023.
- [28] 王金喜. Maximum average impulse energy ratio deconvolution and its application for periodic fault impulses enhancement of rolling bearing. ADVANCED ENGINEERING INFORMATICS, 53, 2022.
- [29] 姚鹏. Intelligent rolling bearing imbalanced fault diagnosis based on Mel-Frequency Cepstrum Coefficient and Convolutional Neural Networks. Measurement: Journal of the International Measurement Confederation, 205, 2022.
- [30] 张法业. Accuracy-Improved Bearing Fault Diagnosis Method Based on AVMD Theory and AWPSO-ELM Mode. Measurement, 2021.
- [31] 张艺蓝. Intelligent fault diagnosis of rolling bearing using the ensemble self-taught learning convolutional auto-encoders. IET Science Measurement & Technology, 16, 130, 2022.
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