| 矿用主通风机故障预警及其软件开发 |
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| 引用本文： | 付胜,李海涛,朱全.矿用主通风机故障预警及其软件开发[J].北京工业大学学报,2007,33(8):809-812. |
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| 作者姓名： | 付胜 李海涛 朱全 |
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| 作者单位： | 北京工业大学,机械工程与应用电子技术学院,北京,100022;北京工业大学,机械工程与应用电子技术学院,北京,100022;北京工业大学,机械工程与应用电子技术学院,北京,100022 |
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| 摘 要： | 为准确确定通风机的故障、实现故障预警,提出了矿用主通风机的故障预警原理,并运用VC++6.0与Matcom4.5联合编程的方法,开发出了基于信息融合技术的通风机故障预警软件.该软件采用了BP神经网络与D-S证据理论相结合的信息融合技术,由BP神经网络完成特征频率到故障类型的非线性映射,根据D-S证据理论对多路信号进行融合分析;以OPC通讯方式与组态王运行系统进行通讯,实现了数据的采集与结论的返回.
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| 关 键 词： | 故障诊断 信息融合 神经网络 D-S证据理论 |
| 文章编号： | 0254-0037（2007）08-0809-04 |
| 修稿时间： | 2007-02-26 |
A Fault Early Warning and Software Development of the Main Ventilator in Mine |
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| FU Sheng,LI Hai-tao,ZHU Quan.A Fault Early Warning and Software Development of the Main Ventilator in Mine[J].Journal of Beijing Polytechnic University,2007,33(8):809-812. |
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| Authors: | FU Sheng LI Hai-tao ZHU Quan |
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| Affiliation: | College of Mechanical Engineering and Applied Electronics Technology;Beijing University of Technology;Beijing 100022;China |
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| Abstract: | In order to exactly determine the fault of the ventilator and realize the early warning of it,the warning principle of the ventilator failure is proposed.The fault early warning software based on the informa- tion fusion technology is developed using VC 6.0 combined with Matcom 4.5.Information fusion tech- nology and BP neural networks and evidence theory are adopted in the software,in which non-linearity map- ping between the fault style and the diagnostic frequency is accomplished by the BP neural networ... |
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| Keywords: | fault diagnosis information fusion neural network D-S evidence theory |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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