| Deep learning-based intelligent fault diagnosis methods toward rotating machinery S Tang, S Yuan, Y Zhu Ieee Access 8, 9335-9346, 2019 | 221 | 2019 |
| Data preprocessing techniques in convolutional neural network based on fault diagnosis towards rotating machinery S Tang, S Yuan, Y Zhu IEEE Access 8, 149487-149496, 2020 | 126 | 2020 |
| An improved convolutional neural network with an adaptable learning rate towards multi-signal fault diagnosis of hydraulic piston pump S Tang, Y Zhu, S Yuan Advanced Engineering Informatics 50, 101406, 2021 | 124 | 2021 |
| Convolutional neural network in intelligent fault diagnosis toward rotatory machinery S Tang, S Yuan, Y Zhu IEEE Access 8, 86510-86519, 2020 | 119 | 2020 |
| Intelligent fault diagnosis of hydraulic piston pump based on deep learning and Bayesian optimization S Tang, Y Zhu, S Yuan ISA transactions 129, 555-563, 2022 | 115 | 2022 |
| Mechanism and propagation characteristics of rotating stall in a mixed-flow pump W Li, E Li, L Ji, L Zhou, W Shi, Y Zhu Renewable Energy 153, 74-92, 2020 | 112 | 2020 |
| Intelligent fault diagnosis of hydraulic piston pump combining improved LeNet-5 and PSO hyperparameter optimization Y Zhu, G Li, R Wang, S Tang, H Su, K Cao Applied Acoustics 183, 108336, 2021 | 102 | 2021 |
| Intelligent fault identification of hydraulic pump using deep adaptive normalized CNN and synchrosqueezed wavelet transform S Tang, Y Zhu, S Yuan Reliability Engineering & System Safety 224, 108560, 2022 | 101 | 2022 |
| Demodulation for hydraulic pump fault signals based on local mean decomposition and improved adaptive multiscale morphology analysis W Jiang, Z Zheng, Y Zhu, Y Li Mechanical Systems and Signal Processing 58, 179-205, 2015 | 96 | 2015 |
| A novel adaptive convolutional neural network for fault diagnosis of hydraulic piston pump with acoustic images S Tang, Y Zhu, S Yuan Advanced Engineering Informatics 52, 101554, 2022 | 93 | 2022 |
| Numerical and experimental study on the pressure fluctuation, vibration, and noise of multistage pump with radial diffuser C Wang, X Chen, N Qiu, Y Zhu, W Shi Journal of the Brazilian Society of Mechanical Sciences and Engineering 40, 1-15, 2018 | 78 | 2018 |
| An adaptive deep learning model towards fault diagnosis of hydraulic piston pump using pressure signal S Tang, Y Zhu, S Yuan Engineering Failure Analysis 138, 106300, 2022 | 69 | 2022 |
| Acoustic signal-based fault detection of hydraulic piston pump using a particle swarm optimization enhancement CNN Y Zhu, G Li, S Tang, R Wang, H Su, C Wang Applied acoustics 192, 108718, 2022 | 69 | 2022 |
| Fault diagnosis method for hydraulic directional valves integrating PCA and XGBoost Y Lei, W Jiang, A Jiang, Y Zhu, H Niu, S Zhang Processes 7 (9), 589, 2019 | 61 | 2019 |
| Numerical study of pressure fluctuation and unsteady flow in a centrifugal pump L Bai, L Zhou, C Han, Y Zhu, W Shi Processes 7 (6), 354, 2019 | 61 | 2019 |
| Numerical study on the gas-water two-phase flow in the self-priming process of self-priming centrifugal pump C Wang, B Hu, Y Zhu, X Wang, C Luo, L Cheng Processes 7 (6), 330, 2019 | 48 | 2019 |
| Extraction method for signal effective component based on extreme-point symmetric mode decomposition and Kullback–Leibler divergence Y Zhu, S Tang, L Quan, W Jiang, L Zhou Journal of the Brazilian Society of Mechanical Sciences and Engineering 41, 1-11, 2019 | 47 | 2019 |
| Intelligent fault diagnosis of hydraulic piston pump based on wavelet analysis and improved alexnet Y Zhu, G Li, R Wang, S Tang, H Su, K Cao Sensors 21 (2), 549, 2021 | 45 | 2021 |
| Research on rolling bearing fault diagnosis of small dataset based on a new optimal transfer learning network Z Zheng, J Fu, C Lu, Y Zhu Measurement 177, 109285, 2021 | 44 | 2021 |
| Numerical investigation of a high-speed electrical submersible pump with different end clearances L Zhou, W Wang, J Hang, W Shi, H Yan, Y Zhu Water 12 (4), 1116, 2020 | 41 | 2020 |
