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旋转机械故障诊断KBE系统中的知识表达技术
引用本文:谢永春,朱才朝,张晶.旋转机械故障诊断KBE系统中的知识表达技术[J].中国机械工程,2004,15(14):1262-1265.
作者姓名:谢永春  朱才朝  张晶
作者单位:1. 重庆大学机械传动国家重点实验室,重庆,400044
2. 重庆英康智能控制工程有限公司,重庆,400030
基金项目:国家 8 63高技术研究发展计划资助项目( 2 0 0 1AA42 3 2 0 0 )
摘    要: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,取得了较好的效果。

关 键 词:旋转机械  基于知识工程(KBE)  故障特征  故障诊断
文章编号:1004-132X(2004)14-1262-04

Knowledge Representation Techniques in a KBE System of Fault Diagnosis of Rotating Machinery
Xie Yongchun Zhu Caichao Zhang Jing .Chongqing University,Chongqing, .Chongqing Inconi Intelligence Control Technology Company,Chongqing.Knowledge Representation Techniques in a KBE System of Fault Diagnosis of Rotating Machinery[J].China Mechanical Engineering,2004,15(14):1262-1265.
Authors:Xie Yongchun Zhu Caichao Zhang Jing Chongqing University  Chongqing  Chongqing Inconi Intelligence Control Technology Company  Chongqing
Affiliation:Xie Yongchun 1 Zhu Caichao 1 Zhang Jing 2 1.Chongqing University,Chongqing,400044 2.Chongqing Inconi Intelligence Control Technology Company,Chongqing,400030
Abstract: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.
Keywords:rotating machinery  knowledge based engineering  fault characteristics  fault diagnosis
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