| 机械设备故障智能诊断技术的现状与发展 |
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| 引用本文： | 杨超,李亦滔.机械设备故障智能诊断技术的现状与发展[J].华东交通大学学报,2011(5):23-28. |
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| 作者姓名： | 杨超 李亦滔 |
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| 作者单位： | 华东交通大学机电工程学院; |
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| 摘 要： | 对机械设备故障智能诊断技术的主要理论和方法进行了归纳和分类,对基于模糊理论的诊断法、基于人工神经网络的诊断法、基于灰色系统理论的诊断法、基于支持向量机的诊断法、集成技术故障诊断法等智能诊断方法的概念、特点、原理、缺陷、主要改进及典型应用进行了介绍,指出将现代技术与多种诊断方法相互融合形成的集成化智能诊断技术是机械系统故障智能诊断技术未来的重要发展趋势。
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| 关 键 词： | 机械设备 故障诊断 智能诊断技术 |
Status Quo and Development of Intelligent Diagnostic Techniques for Mechanical Equipment Faults |
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| Yang Chao,Li Yitao.Status Quo and Development of Intelligent Diagnostic Techniques for Mechanical Equipment Faults[J].Journal of East China Jiaotong University,2011(5):23-28. |
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| Authors: | Yang Chao Li Yitao |
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| Institution: | Yang Chao,Li Yitao(School of Mechanical and Electrical Engineering,East China Jiaotong University,Nanchang 330013,China) |
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| Abstract: | Main intelligent diagnostic theories and methods for mechanical equipment faults are summarized and classified.The paper introduces the conceptsc,haracteristics,principles,defects,main improvement and typ-ical applications of intelligent diagnostic methods including method based on fuzzy theory,artificial neural net-work,method,gray system theory,SVM(support vector machine)and integration techniques.It points out that the important developing trend of intelligent diagnostic techniques for mechanical system ... |
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| Keywords: | mechanical equipment fault diagnosis intelligent diagnostic techniques |
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