Ontology-based fault diagnosis for power transformers

Accurate and efficient fault diagnosis is vital to ensure the normal operation for power transformers. In this paper, a new approach to transformer fault diagnosis is introduced based on the idea of exchanging information with explicit, formal and machine accessible descriptions of meaning by using the Semantic Web. An ontology model is developed for accurate and efficient fault diagnosis for power transformers. Through the use of this model, various transformer fault diagnostic methods can be integrated to describe and inference among fault phenomena, fault sources and causes of faults. The proposed ontology model provides a dedicated semantic model for knowledge representation and information management concerning fault diagnosis of power transformers.