Fault detection and diagnosis of power converters using artificial neural networks
Conference
·
OSTI ID:474573
- Indian Inst. of Science, Bangalore (India). Dept. of High Voltage Engineering
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 systems.
- OSTI ID:
- 474573
- Report Number(s):
- CONF-9601119--; ISBN 0-7803-2795-0
- Country of Publication:
- United States
- Language:
- English
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