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The intelligent level and diagnostic accuracy of mechanical fault diagnosis system depend on the knowledge quantity and quality in its library. While fusing existing knowledge is an important method to increase the knowledge quantity and quality in library. Accordingly, this paper using resource space model (RSM) of knowledge grid (KG) to classify and manage the fault diagnosis knowledge, then proposed an ontology modeling method of mechanical fault diagnosis system. Based on the method, we using protege 4 to construct an ontology of AC motor faults diagnosis.