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Fault detection and diagnosis of power converters using artificial neural networks

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2 Author(s)
K. S. Swarup ; Dept. of High Voltage Eng., Indian Inst. of Sci., Bangalore, India ; H. S. Chandrasekharalah

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 domains, 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 system

Published in:

Power Electronics, Drives and Energy Systems for Industrial Growth, 1996., Proceedings of the 1996 International Conference on  (Volume:2 )

Date of Conference:

8-11 Jan 1996