Field Winding Short Circuit Fault Signature Analysis in Stray Flux of large Hydrogenerator
Author:
Affiliation:
1. École de Technologie Supérieure,Department of Electrical Engineering,Montreal,Canada
2. Research Institute of HydroQuebec,Hydro-Québec,Varennes,Canada
3. École de Technologie Supérieure,Department of Mechanical Engineering,Montreal,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10208163/10208164/10208184.pdf?arnumber=10208184
Reference14 articles.
1. Fault Diagnosis using eXplainable AI: a Transfer Learning-based Approach for Rotating Machinery exploiting Augmented Synthetic Data;brito;arXiv 2210 02974 [cs],2022
2. Applications of machine learning to machine fault diagnosis: A review and roadmap
3. Non-Invasive Anomaly Diagnosis for Hydro Electrical Generators Rotor Inter-Turn Short-Circuit Detection Using Stray Flux and the VAE
4. Anomaly Detection for Large Hydrogenerators Using the Variational Autoencoder Based on Vibration Signals
5. Advantages and Disadvantages of Artificial Intelligence and Machine Learning: A Literature Review;khanzode,0
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