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设备故障智能诊断预报中的知识与推理技术

Knowledge and Technology for Intelligently Predicting and Diagnosing Equipment Failure

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【作者】 伍奎; 李润方;

【Author】 WU Kui LI Run-fang National Keystone Laboratory of Mechanical Drive,Chongqing University,Chongqing 400042

【机构】 重庆大学机械传动国家重点实验室;

【摘要】 分析了故障智能诊断的方法及关键因素,研究了专家知识库的框架,构建了模糊神经网络故障智能诊断的推理结构,基于事例的专家知识库与模糊神经网络推理能较好地实现设备故障的智能诊断预报。

【Abstract】 There existed some limitations between the monitoring instrument of equipment failure diagnosis and the computer-centered failure diagnosis.On the basis of this phenomenon, the technology for predicting and diagnosing failure was being studied.Some methods and important factors for intelligently diagnosing failure were analyzed,and so was the framework of expert repository studied in the article.The inference structure of fuzzy nerve network for intelligently diagnosing failure was set up.The expert repository and fuzzy nerve network inference can actualize the intelligent diagnosis and prediction of equipment failure.

  • 【文献出处】 重庆石油高等专科学校学报 ,Journal of Chongqing Petroleum College , 编辑部邮箱 ,2001年03期
  • 【分类号】TH17
  • 【被引频次】2
  • 【下载频次】46
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