| Digital twin-driven intelligent assessment of gear surface degradation K Feng, JC Ji, Y Zhang, Q Ni, Z Liu, M Beer Mechanical Systems and Signal Processing 186, 109896, 2023 | 222 | 2023 |
| A review of vibration-based gear wear monitoring and prediction techniques K Feng, JC Ji, Q Ni, M Beer Mechanical Systems and Signal Processing 182, 109605, 2023 | 218 | 2023 |
| A fault information-guided variational mode decomposition (FIVMD) method for rolling element bearings diagnosis Q Ni, JC Ji, K Feng, B Halkon Mechanical Systems and Signal Processing 164, 108216, 2022 | 177 | 2022 |
| Vibration-based updating of wear prediction for spur gears K Feng, P Borghesani, WA Smith, RB Randall, ZY Chin, J Ren, Z Peng Wear 426, 1410-1415, 2019 | 139 | 2019 |
| Physics-Informed LSTM hyperparameters selection for gearbox fault detection Y Chen, M Rao, K Feng, MJ Zuo Mechanical Systems and Signal Processing 171, 108907, 2022 | 132 | 2022 |
| Data-driven prognostic scheme for bearings based on a novel health indicator and gated recurrent unit network Q Ni, JC Ji, K Feng IEEE Transactions on Industrial Informatics 19 (2), 1301-1311, 2022 | 122 | 2022 |
| Physics-Informed Residual Network (PIResNet) for rolling element bearing fault diagnostics Q Ni, JC Ji, B Halkon, K Feng, AK Nandi Mechanical Systems and Signal Processing 200, 110544, 2023 | 119 | 2023 |
| A fault diagnosis method for planetary gearboxes under non-stationary working conditions using improved Vold-Kalman filter and multi-scale sample entropy Y Li, K Feng, X Liang, MJ Zuo Journal of Sound and Vibration 439, 271-286, 2019 | 119 | 2019 |
| Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing Y Zhang, JC Ji, Z Ren, Q Ni, F Gu, K Feng, K Yu, J Ge, Z Lei, Z Liu Reliability Engineering & System Safety 234, 109186, 2023 | 118 | 2023 |
| Use of cyclostationary properties of vibration signals to identify gear wear mechanisms and track wear evolution K Feng, WA Smith, P Borghesani, RB Randall, Z Peng Mechanical Systems and Signal Processing 150, 107258, 2021 | 104 | 2021 |
| Vibration-based monitoring and prediction of surface profile change and pitting density in a spur gear wear process K Feng, WA Smith, RB Randall, H Wu, Z Peng Mechanical Systems and Signal Processing 165, 108319, 2022 | 85 | 2022 |
| CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery Y Xu, K Feng, X Yan, R Yan, Q Ni, B Sun, Z Lei, Y Zhang, Z Liu Information Fusion, 2023 | 83 | 2023 |
| A novel vibration-based prognostic scheme for gear health management in surface wear progression of the intelligent manufacturing system K Feng, JC Ji, Q Ni, Y Li, W Mao, L Liu Wear, 204697, 2023 | 74 | 2023 |
| A systematic review on imbalanced learning methods in intelligent fault diagnosis Z Ren, T Lin, K Feng, Y Zhu, Z Liu, K Yan IEEE Transactions on Instrumentation and Measurement, 2023 | 68 | 2023 |
| Universal source-free domain adaptation method for cross-domain fault diagnosis of machines Y Zhang, Z Ren, K Feng, K Yu, M Beer, Z Liu Mechanical Systems and Signal Processing 191, 2023 | 68 | 2023 |
| A phase angle based diagnostic scheme to planetary gear faults diagnostics under non-stationary operational conditions K Feng, K Wang, Q Ni, MJ Zuo, D Wei Journal of Sound and Vibration 408, 190-209, 2017 | 68 | 2017 |
| Supervised contrastive learning-based domain adaptation network for intelligent unsupervised fault diagnosis of rolling bearing Y Zhang, Z Ren, S Zhou, K Feng, K Yu, Z Liu IEEE/ASME Transactions on Mechatronics 27 (6), 5371-5380, 2022 | 64 | 2022 |
| A novel correntropy-based band selection method for the fault diagnosis of bearings under fault-irrelevant impulsive and cyclostationary interferences Q Ni, JC Ji, K Feng, B Halkon Mechanical Systems and Signal Processing 153, 107498, 2021 | 64 | 2021 |
| WavCapsNet: An Interpretable Intelligent Compound Fault Diagnosis Method by Backward Tracking W Li, H Lan, J Chen, K Feng, R Huang IEEE Transactions on Instrumentation and Measurement, 2023 | 61 | 2023 |
| Modified Varying Index Coefficient Autoregression Model for Representation of the Nonstationary Vibration from a Planetary Gearbox Y Chen, M Rao, K Feng, G Niu IEEE Transactions on Instrumentation and Measurement, 2023 | 58 | 2023 |
Qing NiUniversity of Technology SydneyVerified email at student.uts.edu.au
