| Residual wide-kernel deep convolutional auto-encoder for intelligent rotating machinery fault diagnosis with limited samples D Yang, HR Karimi, K Sun Neural Networks 141, 133-144, 2021 | 94 | 2021 |
| Developments of digital twin technologies in industrial, smart city and healthcare sectors: A survey D Yang, HR Karimi, O Kaynak, S Yin Complex Engineering Systems 1 (1), N/A-N/A, 2021 | 67 | 2021 |
| Evolving long short-term memory neural network for wind speed forecasting C Huang, HR Karimi, P Mei, D Yang, Q Shi Information Sciences 632, 390-410, 2023 | 32 | 2023 |
| An explainable intelligence fault diagnosis framework for rotating machinery D Yang, HR Karimi, L Gelman Neurocomputing 541, 126257, 2023 | 31 | 2023 |
| A fuzzy fusion rotating machinery fault diagnosis framework based on the enhancement deep convolutional neural networks D Yang, HR Karimi, L Gelman Sensors 22 (2), 671, 2022 | 25 | 2022 |
| A new intelligent fault diagnosis framework for rotating machinery based on deep transfer reinforcement learning D Yang, HR Karimi, M Pawelczyk Control Engineering Practice 134, 105475, 2023 | 18 | 2023 |
| A novel asymmetrical autoencoder with a sparsifying discrete cosine stockwell transform layer for gearbox sensor data compression X Zhu, D Yang, H Pan, HR Karimi, D Ozevin, AE Cetin Engineering Applications of Artificial Intelligence 127, 107322, 2024 | 11 | 2024 |
| A CAE-based deep learning methodology for rotating machinery fault diagnosis D Yang, K Sun 2021 7th International Conference on Control, Automation and Robotics (ICCAR …, 2021 | 7 | 2021 |
| Two-phase flow-based numerical investigation of the temperature maps of sodium-cooled exhaust valves in a turbocharged engine L Liu, L Zhang, D Yang, Q Zhang, D Yu, L Chen Applied Thermal Engineering 181, 115977, 2020 | 7 | 2020 |
| A vehicle-cloud collaborative strategy for state of energy estimation based on CNN-LSTM networks P Mei, C Huang, D Yang, S Yang, F Chen, Q Song 2022 2nd International Conference on Computers and Automation (CompAuto …, 2022 | 4 | 2022 |
| Dynamic event-triggering joint state and unknown input estimation for nonlinear systems with random sensor failure C Huang, T Zhao, P Mei, D Yang, Q Shi IEEE Sensors Journal 23 (23), 29415-29424, 2023 | 1 | 2023 |
| A Novel Adaptive Wavelet Feature Fusion Networks for Anti-Noise Rotating Machinery Fault Diagnosis D Yang, H Tan, Z Li International Workshop of Advanced Manufacturing and Automation, 295-302, 2024 | | 2024 |
| A Blind Denoising Method for Noisy Rotating Machinery Vibration Signals D Yang, HR Karimi, D Ma IFAC-PapersOnLine 58 (4), 740-745, 2024 | | 2024 |
| A CNN-based Explainable Fault Diagnosis Model for Gearboxes in Rotating Machinery D Yang, HR Karimi, L Gelman 18th International Conference on Condition Monitoring and Asset Management …, 2022 | | 2022 |
| 基于小样本的 GDI 涡轮增压发动机性能预测方法比较分析 杨道广， 张力 重庆大学学报 43 (10), 52-61, 2020 | | 2020 |
| Comparison and analysis of performance prediction methods for GDI turbocharged engine based on limited data 杨道广， 张力 重庆大学学报 43 (10), 52-61, 2020 | | 2020 |
| A Novel Adaptive Wavelet Feature Fusion Networks for Anti-Noise Rotating Machinery D Yang, H Tan, Z Li Advanced Manufacturing and Automation XIV, 295, 0 | | |
Hamid Reza KarimiProfessor, Politecnico di MilanoZweryfikowany adres z polimi.it