| 基于小波神经网络的矿用通风机监控及诊断系统 |
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| 引用本文： | 李东辰,朱伟,闫其娇,庞敏敏.基于小波神经网络的矿用通风机监控及诊断系统[J].煤矿机械,2011(9):253-255. |
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| 作者姓名： | 李东辰 朱伟 闫其娇 庞敏敏 |
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| 作者单位： | 安徽理工大学电气与信息工程学院 |
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| 摘 要： | 采用小波与神经网络松散结合的方法,选择LabWEV为软件开发平台,开发出了一套集数据采集、处理、显示、故障诊断、报警等功能的实时监测及诊断系统。该系统能准确地监测风机运行状况,并有效地诊断风机发生的振动故障。
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| 关 键 词： | 小波神经网络 LabVIEW Modbus通信协议 故障诊断 |
Monitoring and Diagnosis System of Mine Ventilator Based on Wavelet Neural Network |
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| LI Dong-chen,ZHU Wei,YAN Qi-jiao,PANG Min-min.Monitoring and Diagnosis System of Mine Ventilator Based on Wavelet Neural Network[J].Coal Mine Machinery,2011(9):253-255. |
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| Authors: | LI Dong-chen ZHU Wei YAN Qi-jiao PANG Min-min |
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| Affiliation: | (Institute of Electrical and Information Engineering,Anhui University of Technology,Huainan 232001,China) |
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| Abstract: | Using method of loosely coupling of wavelet and network,LABWEV for software development platform is choosen,developing real-time monitoring and diagnosis system containing a set of functions of data acquisition,processing,displaying,alarming and so on.The system can monitor running state of fan accurately and can diagnose shaking trouble of fan effectively. |
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| Keywords: | wavelet neural network LabVIEW Modbus communication protocol fault diagnosis |
| 本文献已被 CNKI 等数据库收录！ |
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