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Fangzhou Cheng
Fangzhou Cheng
Senior Applied Scientist at AWS
Verified email at amazon.com
Title
Cited by
Cited by
Year
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
1782017
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
1252018
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
1252018
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
942018
SELF-SUPERVISED CLASSIFICATION FOR DETECTING ANOMALOUS SOUNDS
R Giri, SV Tenneti, F Cheng, K Helwani, U Isik, A Krishnaswamy
742020
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
742017
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
672020
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
662016
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
562016
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
512021
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
462019
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
352016
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
342018
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
302020
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
262020
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
232015
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
182016
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
162017
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
52022
Deep hybrid convolutional neural network for fault diagnosis of wind turbine gearboxes
F Cheng
US Patent 11,220,999, 2022
42022
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Articles 1–20