Knowledge modeling of fault diagnosis for rotating machinery based on ontology

For those shortcomings of current methods in fault diagnosis knowledge representation, it is necessary to use an efficient knowledge model to improve the accuracy of fault diagnosis and to realize the reusing and sharing of machinery fault knowledge. In this paper, an ontology-based fault diagnosis model is established. Focusing on fault diagnosis of rotating machinery, the domain-ontology knowledge base and structure definition of the fault diagnosis are demonstrated in detail. The protégé is used to construct the model of ontology-based fault diagnosis. Furthermore, rules are added and Jena is used to realize the knowledge reasoning. The result indicates that the model of fault diagnosis based on ontology is intuitive and efficient.