| 现代大型设备故障智能诊断技术的现状与展望 |
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| 引用本文： | 王致杰,王耀才,李冬. 现代大型设备故障智能诊断技术的现状与展望[J]. 煤矿机械, 2003, 0(7): 102-104 |
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| 作者姓名： | 王致杰 王耀才 李冬 |
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| 作者单位： | 中国矿业大学信电学院,江苏,徐州,221008 |
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| 摘 要： | 针对大型复杂工业控制设备的特点 ,从优化方法和优化策略的角度对近年来智能故障诊断技术在复杂动态不确定环境下的研究进行了综述 ,详细分析了各种故障诊断方法 ,并指出了目前存在的问题和未来的研究方向
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| 关 键 词： | 专家系统 人工神经网络 模糊理论 智能故障诊断 |
| 文章编号： | 1003-0794(2003)07-0102-03 |
| 修稿时间： | 2003-02-04 |
The development orientation of intelligence fault diagnosis technology |
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| WANG Zhi_jie,WANG Yao_cai,LI Dong. The development orientation of intelligence fault diagnosis technology[J]. Coal Mine Machinery, 2003, 0(7): 102-104 |
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| Authors: | WANG Zhi_jie WANG Yao_cai LI Dong |
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| Abstract: | The research on the intelligence fault diagnosis technology of complicated system is summarized in recent years with optimal method and optmal strategy to counter the characteristics of complicated industrial control equipment.It is detailed to analyzed the every kind of fault diagnosis the method's characteristics.The currently existing problems and the researching orientation are pointed out. |
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| Keywords: | expert system artificial neural network fuzzy theory intelligence fault diagnosis |
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