| 基于人工神经网络优化算法的故障诊断 |
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| 引用本文： | 姚秀萍,李文选,袁泮泉,王志腾.基于人工神经网络优化算法的故障诊断[J].煤矿机械,2011,32(4):257-259. |
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| 作者姓名： | 姚秀萍 李文选 袁泮泉 王志腾 |
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| 作者单位： | 河北工程大学机电学院,河北,邯郸,056038 |
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| 摘 要： | 应用神经网络优化算法,进行网络参数优化计算。为了考察神经网络的优化算法,对实验室的转子模型进行了振动测试,获取其振动信号,将信号经分析仪分析,获取不同测点的动态信息及其参数分布规律,用神经网络优化算法进行故障诊断分析。
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| 关 键 词： | 神经网络优化算法 转子模型 振动信号 |
Optimization Algorithm Based on Artificial Neural Networks for Fault Diagnosis |
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| YAO Xiu-ping,LI Wen-xuan,YUAN Pan-quan,WANG Zhi-teng.Optimization Algorithm Based on Artificial Neural Networks for Fault Diagnosis[J].Coal Mine Machinery,2011,32(4):257-259. |
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| Authors: | YAO Xiu-ping LI Wen-xuan YUAN Pan-quan WANG Zhi-teng |
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| Affiliation: | YAO Xiu-ping,LI Wen-xuan,YUAN Pan-quan,WANG Zhi-teng(College of Electrical and Mechanical,Hebei University of Engineering,Handan 056038,China) |
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| Abstract: | To examine the neural network algorithm,the rotor model of laboratory vibration tests to obtain the vibration signal,the signal was analyzed by the analysis to obtain different points of the dynamic distribution of information and its parameters using the neural network optimization algorithms Fault diagnosis. |
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| Keywords: | neural network optimization algorithm rotor model vibration signal |
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