Fangzhou Cheng

Orcid: 0000-0002-7277-6102

According to our database1, Fangzhou Cheng authored at least 11 papers between 2015 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Wind Turbine Drivetrain Gearbox Fault Diagnosis Using Information Fusion on Vibration and Current Signals.
IEEE Trans. Instrum. Meas., 2021

2020
Self-Supervised Classification for Detecting Anomalous Sounds.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

Group Masked Autoencoder Based Density Estimator for Audio Anomaly Detection.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

2019
Enhanced Particle Filtering for Bearing Remaining Useful Life Prediction of Wind Turbine Drivetrain Gearboxes.
IEEE Trans. Ind. Electron., 2019

High-Accuracy Unsupervised Fault Detection of Industrial Robots Using Current Signal Analysis.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

2018
Multiscale Filtering Reconstruction for Wind Turbine Gearbox Fault Diagnosis Under Varying-Speed and Noisy Conditions.
IEEE Trans. Ind. Electron., 2018

2017
Rotor current-based fault diagnosis for DFIG wind turbine drivetrain gearboxes using frequency analysis and a deep classifier.
Proceedings of the 2017 IEEE Industry Applications Society Annual Meeting, 2017

Fault prognosis of drivetrain gearbox based on a recurrent neural network.
Proceedings of the IEEE International Conference on Electro Information Technology, 2017

2016
A comparative study on Vibration- and current-based approaches for drivetrain gearbox fault diagnosis.
Proceedings of the 2016 IEEE Industry Applications Society Annual Meeting, 2016

Current-based fault detection and identification for wind turbine drivetrain gearboxes.
Proceedings of the 2016 IEEE Industry Applications Society Annual Meeting, 2016

2015
Quantitative evaluation of wind turbine faults under variable operational conditions.
Proceedings of the 2015 IEEE Industry Applications Society Annual Meeting, 2015


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