| 基于神经网络的传感器故障诊断仿真 |
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| 引用本文： | 王琳,李木,李文,丁鸣艳.基于神经网络的传感器故障诊断仿真[J].大连铁道学院学报,2004,25(3):53-56. |
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| 作者姓名： | 王琳 李木 李文 丁鸣艳 |
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| 作者单位： | [1]大连交通大学电气信息分院，辽宁大连116028 [2]华北电力大学，河北保定071003 |
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| 基金项目： | 教育部科学技术研究资助项目(204032) |
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| 摘 要： | 针对现代工业大型复杂系统的不确定性使得对其进行建模比较困难的特点，提出了一种用神经网络进行传感器故障诊断的方法．以凝汽式汽轮机调速系统中的转速传感器为例进行了传感器故障诊断研究，给出了仿真实现结果，并加以分析．仿真结果表明，所提出的利用神经网络进行传感器的故障诊断的方法具有可行性．
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| 关 键 词： | 神经网络 传感器故障 仿真结果 大型复杂系统 建模 转速传感器 现代工业 诊断研究 困难 方法 |
Simulation of Sensor Failure Diagnosis Based on Neural Networks |
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| WANG Lin,LI Mu,LI Wen,DING Ming-yan.Simulation of Sensor Failure Diagnosis Based on Neural Networks[J].Journal of Dalian Railway Institute,2004,25(3):53-56. |
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| Authors: | WANG Lin LI Mu LI Wen DING Ming-yan |
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| Institution: | WANG Lin~1,LI Mu~2,LI Wen~1,DING Ming-yan~1 |
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| Abstract: | Aiming at the character that the uncertainties of the large and complex system of the modern industry bring to model the system difficult, the basic concept of BP (Back Propagation) neural network and three problems in sensor failure diagnosis are studied. The fundamentals about sensor failure diagnosis using neural networks are analyzed. With learning ability, the BP neural network which can be used to simulate object is an angular velocity sensor in the velocity control system of a condensing turbine. The simulation result shows that sensor failure diagnosis using BP neural networks is feasible. |
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| Keywords: | failure diagnosis neural network BP algorithm simulation |
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