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Fangzhou Cheng
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2020 – today
- 2021
- [j3]Yayu Peng, Wei Qiao, Fangzhou Cheng, Liyan Qu:
Wind Turbine Drivetrain Gearbox Fault Diagnosis Using Information Fusion on Vibration and Current Signals. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - 2020
- [c8]Ritwik Giri, Srikanth V. Tenneti, Fangzhou Cheng, Karim Helwani, Umut Isik, Arvindh Krishnaswamy:
Self-Supervised Classification for Detecting Anomalous Sounds. DCASE 2020: 46-50 - [c7]Ritwik Giri, Fangzhou Cheng, Karim Helwani, Srikanth V. Tenneti, Umut Isik, Arvindh Krishnaswamy:
Group Masked Autoencoder Based Density Estimator for Audio Anomaly Detection. DCASE 2020: 51-55
2010 – 2019
- 2019
- [j2]Fangzhou Cheng, Liyan Qu, Wei Qiao, Liwei Hao:
Enhanced Particle Filtering for Bearing Remaining Useful Life Prediction of Wind Turbine Drivetrain Gearboxes. IEEE Trans. Ind. Electron. 66(6): 4738-4748 (2019) - [c6]Fangzhou Cheng, Ajay Raghavan, Deokwoo Jung, Yukinori Sasaki, Yosuke Tajika:
High-Accuracy Unsupervised Fault Detection of Industrial Robots Using Current Signal Analysis. ICPHM 2019: 1-8 - 2018
- [j1]Jun Wang, Fangzhou Cheng, Wei Qiao, Liyan Qu:
Multiscale Filtering Reconstruction for Wind Turbine Gearbox Fault Diagnosis Under Varying-Speed and Noisy Conditions. IEEE Trans. Ind. Electron. 65(5): 4268-4278 (2018) - 2017
- [c5]Yayu Peng, Fangzhou Cheng, Wei Qiao, Liyan Qu:
Fault prognosis of drivetrain gearbox based on a recurrent neural network. EIT 2017: 593-599 - [c4]Fangzhou Cheng, Jun Wang, Liyan Qu, Wei Qiao:
Rotor current-based fault diagnosis for DFIG wind turbine drivetrain gearboxes using frequency analysis and a deep classifier. IAS 2017: 1-9 - 2016
- [c3]Fangzhou Cheng, Yayu Peng, Liyan Qu, Wei Qiao:
Current-based fault detection and identification for wind turbine drivetrain gearboxes. IAS 2016: 1-9 - [c2]Xiaohang Jin, Fangzhou Cheng, Yayu Peng, Wei Qiao, Liyan Qu:
A comparative study on Vibration- and current-based approaches for drivetrain gearbox fault diagnosis. IAS 2016: 1-8 - 2015
- [c1]Xiaohang Jin, Yayu Peng, Fangzhou Cheng, Wei Qiao, Liyan Qu:
Quantitative evaluation of wind turbine faults under variable operational conditions. IAS 2015: 1-8
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