| Fault prognosis and remaining useful life prediction of wind turbine gearboxes using current signal analysis F Cheng, L Qu, W Qiao IEEE Transactions on Sustainable Energy 9 (1), 157-167, 2017 | 179 | 2017 |
| Enhanced particle filtering for bearing remaining useful life prediction of wind turbine drivetrain gearboxes F Cheng, L Qu, W Qiao, L Hao IEEE Transactions on Industrial Electronics 66 (6), 4738-4748, 2018 | 125 | 2018 |
| Rotor-current-based fault diagnosis for DFIG wind turbine drivetrain gearboxes using frequency analysis and a deep classifier F Cheng, J Wang, L Qu, W Qiao IEEE Transactions on Industry Applications 54 (2), 1062-1071, 2018 | 125 | 2018 |
| Fault diagnosis of wind turbine gearboxes based on DFIG stator current envelope analysis F Cheng, L Qu, W Qiao, C Wei, L Hao IEEE Transactions on Sustainable Energy 10 (3), 1044-1053, 2018 | 94 | 2018 |
| SELF-SUPERVISED CLASSIFICATION FOR DETECTING ANOMALOUS SOUNDS R Giri, SV Tenneti, F Cheng, K Helwani, U Isik, A Krishnaswamy | 74 | 2020 |
| Multiscale filtering reconstruction for wind turbine gearbox fault diagnosis under varying-speed and noisy conditions J Wang, F Cheng, W Qiao, L Qu IEEE Transactions on Industrial Electronics 65 (5), 4268-4278, 2017 | 74 | 2017 |
| UNSUPERVISED ANOMALOUS SOUND DETECTION USING SELF-SUPERVISED CLASSIFICATION AND GROUP MASKED AUTOENCODER FOR DENSITY ESTIMATION R Giri, SV Tenneti, F Cheng, K Helwani, U Isik, A Krishnaswamy | 67 | 2020 |
| Current-based fault detection and identification for wind turbine drivetrain gearboxes F Cheng, Y Peng, L Qu, W Qiao IEEE Transactions on Industry Applications 53 (2), 878-887, 2016 | 66 | 2016 |
| Quantitative evaluation of wind turbine faults under variable operational conditions X Jin, W Qiao, Y Peng, F Cheng, L Qu IEEE Transactions on Industry Applications 52 (3), 2061-2069, 2016 | 56 | 2016 |
| Wind turbine drivetrain gearbox fault diagnosis using information fusion on vibration and current signals Y Peng, W Qiao, F Cheng, L Qu IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021 | 51 | 2021 |
| High-accuracy unsupervised fault detection of industrial robots using current signal analysis F Cheng, A Raghavan, D Jung, Y Sasaki, Y Tajika 2019 IEEE International Conference on Prognostics and Health Management …, 2019 | 46 | 2019 |
| A comparative study on vibration-and current-based approaches for drivetrain gearbox fault diagnosis X Jin, F Cheng, Y Peng, W Qiao, L Qu 2016 IEEE Industry Applications Society Annual Meeting, 1-8, 2016 | 35 | 2016 |
| Drivetrain gearbox fault diagnosis: Vibration-and current-based approaches X Jin, F Cheng, Y Peng, W Qiao, L Qu IEEE Industry Applications Magazine 24 (6), 56-66, 2018 | 34 | 2018 |
| GROUP MASKED AUTOENCODER BASED DENSITY ESTIMATOR FOR AUDIO ANOMALY DETECTION R Giri, F Cheng, K Helwani, SV Tenneti, U Isik, A Krishnaswamy DCASE 2020 Workshop, 2020 | 30 | 2020 |
| Low-cost embedded optical sensing systems for distribution transformer monitoring A Raghavan, P Kiesel, M Teepe, F Cheng, Q Chen, T Karin, D Jung, ... IEEE Transactions on Power Delivery 36 (2), 1007-1014, 2020 | 26 | 2020 |
| A case-based data-driven prediction framework for machine fault prognostics F Cheng, L Qu, W Qiao 2015 IEEE Energy Conversion Congress and Exposition (ECCE), 3957-3963, 2015 | 24 | 2015 |
| Fault diagnosis of wind turbine gearbox using DFIG stator current analysis F Cheng, C Wei, L Qu, W Qiao 2016 IEEE Energy Conversion Congress and Exposition (ECCE), 1-7, 2016 | 18 | 2016 |
| Fault prognosis of drivetrain gearbox based on a recurrent neural network Y Peng, F Cheng, W Qiao, L Qu 2017 IEEE international conference on electro information technology (EIT …, 2017 | 16 | 2017 |
| Method and system for unsupervised anomaly detection and accountability with majority voting for high-dimensional sensor data D Jung, F Cheng, A Raghavan, Y Sasaki, A Minegishi, T Ogura, Y Tajika US Patent 11,448,570, 2022 | 5 | 2022 |
| Deep hybrid convolutional neural network for fault diagnosis of wind turbine gearboxes F Cheng US Patent 11,220,999, 2022 | 4 | 2022 |
