| Weld image deep learning-based on-line defects detection using convolutional neural networks for Al alloy in robotic arc welding Z Zhang, G Wen, S Chen Journal of Manufacturing Processes 45, 208-216, 2019 | 264 | 2019 |
| EMD-based pulsed TIG welding process porosity defect detection and defect diagnosis using GA-SVM Y Huang, D Wu, Z Zhang, H Chen, S Chen Journal of Materials Processing Technology 239, 92-102, 2017 | 132 | 2017 |
| Audible sound-based intelligent evaluation for aluminum alloy in robotic pulsed GTAW: Mechanism, feature selection, and defect detection Z Zhang, G Wen, S Chen IEEE Transactions on Industrial Informatics 14 (7), 2973-2983, 2017 | 90 | 2017 |
| Real-time seam penetration identification in arc welding based on fusion of sound, voltage and spectrum signals Z Zhang, S Chen Journal of Intelligent Manufacturing 28, 207-218, 2017 | 89 | 2017 |
| Multisensor-based real-time quality monitoring by means of feature extraction, selection and modeling for Al alloy in arc welding Z Zhang, H Chen, Y Xu, J Zhong, N Lv, S Chen Mechanical systems and signal processing 60, 151-165, 2015 | 83 | 2015 |
| Random forest-based real-time defect detection of Al alloy in robotic arc welding using optical spectrum Z Zhang, Z Yang, W Ren, G Wen Journal of Manufacturing Processes 42, 51-59, 2019 | 73 | 2019 |
| Online welding quality monitoring based on feature extraction of arc voltage signal Z Zhang, X Chen, H Chen, J Zhong, S Chen The International Journal of Advanced Manufacturing Technology 70, 1661-1671, 2014 | 73 | 2014 |
| Real-time defect detection in pulsed GTAW of Al alloys through on-line spectroscopy Z Zhang, H Yu, N Lv, S Chen Journal of Materials Processing Technology 213 (7), 1146-1156, 2013 | 66 | 2013 |
| XGBoost-based on-line prediction of seam tensile strength for Al-Li alloy in laser welding: Experiment study and modelling Z Zhang, Y Huang, R Qin, W Ren, G Wen Journal of Manufacturing Processes 64, 30-44, 2021 | 59 | 2021 |
| An intelligent fault diagnosis method based on domain adaptation and its application for bearings under polytropic working conditions Z Lei, G Wen, S Dong, X Huang, H Zhou, Z Zhang, X Chen IEEE Transactions on Instrumentation and Measurement 70, 1-14, 2020 | 59 | 2020 |
| Memory residual regression autoencoder for bearing fault detection X Huang, G Wen, S Dong, H Zhou, Z Lei, Z Zhang, X Chen IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2021 | 54 | 2021 |
| Audio sensing and modeling of arc dynamic characteristic during pulsed Al alloy GTAW process N Lv, Y Xu, Z Zhang, J Wang, B Chen, S Chen Sensor Review 33 (2), 141-156, 2013 | 53 | 2013 |
| Quality monitoring in additive manufacturing using emission spectroscopy and unsupervised deep learning W Ren, G Wen, Z Zhang, J Mazumder Materials and Manufacturing Processes 37 (11), 1339-1346, 2022 | 43 | 2022 |
| Real-time seam defect identification for Al alloys in robotic arc welding using optical spectroscopy and integrating learning Z Zhang, W Ren, Z Yang, G Wen Measurement 156, 107546, 2020 | 43 | 2020 |
| A novel convolutional neural network based on time–frequency spectrogram of arc sound and its application on GTAW penetration classification W Ren, G Wen, B Xu, Z Zhang IEEE Transactions on Industrial Informatics 17 (2), 809-819, 2020 | 43 | 2020 |
| On-line evaluation and monitoring technology for material surface integrity in laser shock peening–A review R Qin, Z Zhang, Z Hu, Z Du, X Xiang, G Wen, W He Journal of Materials Processing Technology 313, 117851, 2023 | 40 | 2023 |
| Deep learning-based monitoring of surface residual stress and efficient sensing of AE for laser shock peening Z Zhang, R Qin, G Li, Z Du, Z Li, Y Lin, W He Journal of Materials Processing Technology 303, 117515, 2022 | 35 | 2022 |
| Frequency phase space empirical wavelet transform for rolling bearings fault diagnosis X Huang, G Wen, L Liang, Z Zhang, Y Tan Ieee Access 7, 86306-86318, 2019 | 32 | 2019 |
| Study of inner porosity detection for Al-Mg alloy in arc welding through on-line optical spectroscopy: Correlation and feature reduction Z Zhang, L Zhang, G Wen Journal of Manufacturing Processes 39, 79-92, 2019 | 29 | 2019 |
| Transfer learning for bearing performance degradation assessment based on deep hierarchical features S Dong, G Wen, Z Lei, Z Zhang ISA transactions 108, 343-355, 2021 | 26 | 2021 |
