| 基于ANN和FUZZY的装载机故障诊断模型 |
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| 引用本文： | 喻道远,林文.基于ANN和FUZZY的装载机故障诊断模型[J].华中科技大学学报(自然科学版),2005,33(1):71-74. |
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| 作者姓名： | 喻道远 林文 |
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| 作者单位： | 华中科技大学,机械科学与工程学院,湖北,武汉,430074 |
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| 基金项目： | 国家高技术研究发展计划资助项目 (2 0 0 3AA4 30 190 ) . |
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| 摘 要： | 提出了一种基于神经网络和模糊理论的层次诊断模型、针对装载机的特点建立的模糊系统可自动生成和调整隶属度函数，构造了一种平行的神经子网络，网络训练的速度和诊断准确率有明显提高．模型缩小了知识库，减少了计算量．本模型具有比较强的除噪能力，能将对故障信息敏感而对噪声不敏感的信息提取出来．经仿真实验证明，识别效果良好，有效减少了误判和漏判．
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| 关 键 词： | 模糊系统 人工神经网络 分层模型 子网络 故障诊断 装载机 |
| 文章编号： | 1671-4512(2005)01-0071-04 |
| 修稿时间： | 2004年4月14日 |
Hierarchy evaluating model for fault diagnosis of loaders based on ANN and fuzzy |
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| Yu Daoyuan,Lin Wen.Hierarchy evaluating model for fault diagnosis of loaders based on ANN and fuzzy[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2005,33(1):71-74. |
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| Authors: | Yu Daoyuan Lin Wen |
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| Institution: | Yu Daoyuan Lin Wen Lin Wen Prof., College of Mech. Sci. & Eng.,Huazhong Univ. of Sci. & Tech.,Wuhan 430074,China. |
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| Abstract: | Combined the fuzzy system with the artificial neural network(ANN), the approach of establishing fault diagnosis model for loader system was put forward. Aiming at the trait of loader, a fuzzy system which could update membership functions itself was established. A new parallel sub ANN approach was proposed and made the training fast and accurate. This model has made the calculation workload and the size of the knowledge repository reduced. This kind of model has a strong ability for the system denoising, it can refine the feature which is only sensitive to the fault from fault system. Simulated experiment show that this kind of model has good recognition effect and low false ratio. |
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| Keywords: | fuzzy-system artificial neural network evaluating-model sub-ANN fault diagnosis loader |
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