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Ryad Zemouri
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1
Power Transformer Prognostics and Health Management Using Machine Learning: A Review and Future Directions
由
Ryad Zemouri
發表在
Machines
(2025-02-01)
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2
Semi-Supervised Adversarial Variational Autoencoder
由
Ryad Zemouri
發表在
Machine Learning and Knowledge Extraction
(2020-09-01)
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3
System Condition Monitoring Based on a Standardized Latent Space and the Nataf Transform
由
Adaiton Oliveira-Filho
,
Ryad Zemouri
,
Francis Pelletier
,
Antoine Tahan
發表在
IEEE Access
(2024-01-01)
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4
Early Detection and Diagnosis of Wind Turbine Abnormal Conditions Using an Interpretable Supervised Variational Autoencoder Model
由
Adaiton Oliveira-Filho
,
Ryad Zemouri
,
Philippe Cambron
,
Antoine Tahan
發表在
Energies
(2023-06-01)
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5
Fault Detection Based on Vibration Measurements and Variational Autoencoder-Desirability Function
由
Rony Ibrahim
,
Ryad Zemouri
,
Antoine Tahan
,
Bachir Kedjar
,
Arezki Merkhouf
,
Kamal Al-Haddad
發表在
IEEE Open Journal of Industry Applications
(2024-01-01)
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6
Deep Convolutional Variational Autoencoder as a 2D-Visualization Tool for Partial Discharge Source Classification in Hydrogenerators
由
Ryad Zemouri
,
Melanie Levesque
,
Normand Amyot
,
Claude Hudon
,
Olivier Kokoko
,
Souheil Antoine Tahan
發表在
IEEE Access
(2020-01-01)
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7
Review of Artificial Intelligence Methods for Faults Monitoring, Diagnosis, and Prognosis in Hydroelectric Synchronous Generators
由
Helene Bechara
,
Rony Ibrahim
,
Ryad Zemouri
,
Bachir Kedjar
,
Arezki Merkhouf
,
Antoine Tahan
,
Kamal Al-Haddad
發表在
IEEE Access
(2024-01-01)
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