Ontology-based Rotating Machine Fault Diagnosis Knowledge Representation Research

摘要

Against the shortage of the traditional rotating machine fault diagnosis knowledge representation in semantic, analyzing the feature of rotating machine fault diagnosis knowledge,using knowledge engineering and ontological the related to the theories builds rotating machine fault diagnosis knowledge ontology,offered the Knowledge Base Model which is based on ontology and base-the rule of reasoning.Building rotating machine fault knowledge ontology successfully,through the input. queries, and matching between the five class of the top classfault description class,to achieve the rotating machine fault diagnosis.And proving that this knowledge representation method is feasibile, effective,and improving the reuse of the rotating machine fault diagnosis knowledge.