| 基于BP网络的设备故障诊断研究 |
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| 引用本文： | 李欣 刘万军 陈磊. 基于BP网络的设备故障诊断研究[J]. 科学技术与工程, 2006, 6(18): 2893-2896 |
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| 作者姓名： | 李欣 刘万军 陈磊 |
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| 作者单位： | 辽宁工程技术大学电子与信息工程系,葫芦岛,125105;海军飞行学院,葫芦岛,125000;辽宁工程技术大学电子与信息工程系,葫芦岛,125105;辽宁工程技术大学电气工程系,阜新,123000 |
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| 摘 要： | 通过运用人工神经网络知识，准确、及时地对某运输公司的汽车发动机进行了故障诊断，并且取得了较为准确的诊断结果。不仅提高了发动机运行的安全性以及可靠性，而且为建立基于知识的诊断技术提供了强有力的技术支持和实现的可能性。
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| 关 键 词： | 神经网络 故障诊断 BP算法 |
| 文章编号： | 1671-1815（2006）18-2893-04 |
| 收稿时间： | 2006-05-18 |
| 修稿时间： | 2006-05-18 |
Research of Equipment Fault Diagnose Based on BP Neural Network |
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| LI Xin,LIU Wanjun,CHEN Lei. Research of Equipment Fault Diagnose Based on BP Neural Network[J]. Science Technology and Engineering, 2006, 6(18): 2893-2896 |
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| Authors: | LI Xin LIU Wanjun CHEN Lei |
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| Abstract: | Utilizating artificial neural networks knowledge, the fault diagnosis to some transport company's motor car engine was carried out accurately and in time, and the more accurate diagnosis result is obtained. Not only enhanced the engine movement security as well as the reliability, moreover the powerful technical support is provided and the realization possibility for the establishment based on the knowledge diagnosis technology are presented. |
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| Keywords: | neural network fault diagnosis Back-Prop algorithm |
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