旋转机械故障诊断KBE系统中的知识表达技术

Knowledge Representation Techniques in a KBE System of Fault Diagnosis of Rotating Machinery

对旋转机械故障诊断KBE系统中的知识获取、知识表达和知识推理进行了研究 ,在开发出的可视化模糊神经网络的知识表达平台上建立了旋转机械故障诊断专家知识库 ,利用旋转机械故障智能诊断预报模拟实验台对该系统的有效性和可靠性进行了实验验证 。

This study has been mainly made on the three topics-acquisition, expression and inference of knowledge for a KBE system of fault diagnosis of rotating machinery. On the basis of visible fuzzy neural network, the expert knowledge database of fault diagnosis system of rotating machinery was set up. In addition, the system has been successfully tested with simulation experiments.