| 空调系统传感器故障诊断方法 |
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| 引用本文： | 邓勇,王彦,王超.空调系统传感器故障诊断方法[J].电子科技,2011,24(6):101-104. |
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| 作者姓名： | 邓勇 王彦 王超 |
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| 作者单位： | (1.南华大学 电气工程学院,湖南 衡阳 421001;2.湖南大学 电气与信息工程学院,湖南 长沙 410082) |
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| 摘 要： | 针对空调系统中常见的传感器故障问题,提出了基于小波神经网络(WNN)故障诊断策略.在分析空调系统中传感器主要故障的基础上,建立了传感器故障诊断系统.通过传感器的真实测量值与预测值的残差比较,验证了基于WNN的故障诊断能力,分析了基于WNN与BP神经网络故障诊断的残差比结果.仿真实验表明,基于WNN的故障诊断系统具有结构...
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| 关 键 词： | 小波神经网络 BP神经网络 传感器 故障诊断 残差比 |
Research on Sensor Fault Diagnosis of the Air-Conditioning |
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| DENG Yong,WANG Yan,WANG Chao.Research on Sensor Fault Diagnosis of the Air-Conditioning[J].Electronic Science and Technology,2011,24(6):101-104. |
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| Authors: | DENG Yong WANG Yan WANG Chao |
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| Affiliation: | (1.College of Electrical Engineering,Nanhua University,Hengyang 421001,China;
2.College of Electrical and Information Engineering,Hunan University,Changsha 410082,China) |
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| Abstract: | A wavelet neural network(WNN) fault diagnosis strategy is proposed based on the air-conditioning unit in the common sensor faults.Sensor fault diagnosis system is based on the analysis of the primary failure of air-conditioning unit sensors.By comparing residuals of the sensor's actual measuring data and forecast data,it verifies the ability of fault diagnosis based on WNN.Besides,the residuals ratio in fault diagnosis base on the WNN and BP neural network is analyzed.Simulation shows that the fault diagnos... |
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| Keywords: | wavelet neural network BP neural network sensor fault diagnosis residual ratio |
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