Non-Invasive Anomaly Diagnosis for Hydro Electrical Generators Rotor Inter-Turn Short-Circuit Detection Using Stray Flux and the VAE
Author:
Affiliation:
1. École de Technologie Supérieure,Department of Electrical Engineering,Montreal,H3C1K3
2. IREQ-Institut de Recherche d’Hydro-Quebec,Varennes,Canada
3. École de Technologie Supérieure,Department of Mechanical Engineering,Montreal,H3C1K3
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9910604/9910578/09910797.pdf?arnumber=9910797
Reference33 articles.
1. Health Indicator for Low-Speed Axial Bearings Using Variational Autoencoders
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3. Hydro-generators fault diagnosis with short-time-wavelet-entropy and variational auto-encoder
4. Comparison of an Automatic Classification of Partial Dischage Patterns for Large Hydrogenerator
5. Evaluation of the Detectability of Damper Cage Damages in Synchronous Motors through the Advanced Analysis of the Stray Flux
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1. Identification of sensitive feature in the stray magnetic field to detect rotor short-circuit fault in synchronous generators;2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED);2023-08-28
2. Field Winding Short Circuit Fault Signature Analysis in Stray Flux of large Hydrogenerator;2023 6th International Conference on Renewable Energy for Developing Countries (REDEC);2023-07-05
3. Stray flux and air gap flux experimental measurement and analysis in large hydro generators;2023 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD);2023-04-13
4. Non-Invasive Detection of Rotor Inter-Turn Short Circuit in Large Hydrogenerators by Using Stray Flux Measurement Combined With Convolutional Variational Autoencoder Analysis (CVAE);IEEE Transactions on Industry Applications;2023
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