Header menu link for other important links
Fault detection and diagnosis of power converters using artificial neural networks
, Chandrasekharaiah H.S.
Published in IEEE, Piscataway, NJ, United States
Volume: 2
Pages: 1054 - 1058
Fault detection and diagnosis in real-time are areas of research interest in knowledge-based expert systems. Rule-based and model-based approaches have been successfully applied to some domain, but are too slow to be effectively applied in a real-time environment. This paper explores the suitability of using artificial neural networks for fault detection and diagnosis of power converter systems. The paper describes a neural network design and simulation environment for real-time fault diagnosis of thyristor converters used in HVDC power transmission systems.