Research on Fault Diagnosis Mechanism of Production Line Equipment Based on Semantic

Abstract

At present, the fault diagnosis information of production line equipment has information dispersion, which is difficult to share and reuse. This paper proposes a diagnostic management system based on semantic knowledge, which diagnoses faults through ontology and rules. At the same time, the description of the uncertainty information in the fault diagnosis process is described. Introduce the fuzzy theory based on the analysis of ontology in the field of fault diagnosis. Experimental results prove that the method has a good fault diagnosis effect.