| 基于BP神经网络的装备智能故障诊断技术 研究 |
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| 引用本文： | 王玲.基于BP神经网络的装备智能故障诊断技术 研究[J].科学技术与工程,2011,11(6). |
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| 作者姓名： | 王玲 |
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| 作者单位： | 1. 沈阳师范大学软件学院,沈阳,110034
2. 装甲兵工程学院,北京,100072 |
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| 摘 要： | 针对某装备故障诊断中多故障原因和多故障征兆的复杂对应关系，本文在分析其故障模式复杂性的基础上，设计了该装备基于BP神经网络方法的智能故障诊断模型，介绍了该模型具体实现过程中的关键技术，并通过仿真实验对模型性能进行了分析。
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| 关 键 词： | 复杂性 故障诊断 BP神经网络 |
| 收稿时间： | 2010/10/25 0:00:00 |
| 修稿时间： | 12/6/2010 9:57:32 PM |
Research on Intelligent Fault Diagnosis Technique of Equipment Based on BP Neural Network |
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| WANGLING.Research on Intelligent Fault Diagnosis Technique of Equipment Based on BP Neural Network[J].Science Technology and Engineering,2011,11(6). |
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| Authors: | WANGLING |
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| Institution: | WANG Ling1,DU Qing-dong1,YANG Yu-ying2,YANG Jun2(College of Software,Shenyang Normal University1,Shenyang 110034,P.R.China,The Academy of Armored Force Engineering2,Beijing 100072,P.R.China) |
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| Abstract: | Aiming at the complex corresponding relationship between fault causation and fault symptom in diagnosis of certain equipment, this paper designed intelligent fault diagnostic model by BP neural network for the equipment, introduced the key technique of exactly implementation of the model based on the analyze of fault pattern complexity of the equipment. |
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| Keywords: | Complexity Fault Diagnosis BP Network |
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