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Journal Articles
- 2023
[j5]Baoxuan Zhao
, Changming Cheng, Shangyu Zhao, Zhike Peng:
Hybrid Semi-Supervised Learning for Rotating Machinery Fault Diagnosis Based on Grouped Pseudo Labeling and Consistency Regularization. IEEE Trans. Instrum. Meas. 72: 1-12 (2023)- 2022
- [j4]Junzhong Lu, Changming Cheng, Baoxuan Zhao, Zhike Peng:
Relation-Aware Attentive Neural Processes Model for Remaining Useful Life Prediction. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [j3]Baoxuan Zhao, Changming Cheng, Guanzhen Zhang, Miaomiao Lin, Zhike Peng, Guang Meng:
An Instance and Feature-Based Hybrid Transfer Model for Fault Diagnosis of Rotating Machinery With Different Speeds. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - 2021
- [j2]Baoxuan Zhao, Changming Cheng, Zhike Peng, Qingbo He, Guang Meng:
Hybrid Pre-Training Strategy for Deep Denoising Neural Networks and Its Application in Machine Fault Diagnosis. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - 2020
- [j1]Baoxuan Zhao, Changming Cheng, Zhike Peng, Xingjian Dong, Guang Meng:
Detecting the Early Damages in Structures With Nonlinear Output Frequency Response Functions and the CNN-LSTM Model. IEEE Trans. Instrum. Meas. 69(12): 9557-9567 (2020)
Informal and Other Publications
- 2022
- [i1]Qian Chen, Xingjian Dong, Guowei Tu, Dong Wang, Baoxuan Zhao, Zhike Peng:
TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis. CoRR abs/2209.01992 (2022)
Coauthor Index
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