关键词: 故障诊断, 本体建模, 转子, 诊断推理

Abstract:

In order to improve the accuracy and reliability of mechanical fault diagnosis, a semantic representation for diagnostic maintenance knowledge was introduced. By building the model of equipment structure, empirical maintenance knowledge and diagnostic process, an ontology driven inference model of fault diagnosis was established. An ontology mapping algorithm was proposed for the mapping between the devices' operating status and fault symptoms, and a diagnostic instance matching algorithm was proposed to map the symptom space into the fault case space. As a result, the static maintenance knowledge and the dynamic diagnostic process were consolidated, furthermore, the automation and intellectualization of fault diagnosis and maintenance decisions were achieved. The proposed reasoning model was applied to a rotor fault diagnosis, which demonstrates that the proposed reasoning model can get more accurate realtime diagnostic results.

Key words: fault diagnosis, ontology modeling, rotor, diagnosis inference