| 信息融合技术在地铁中央空调风机故障诊断中的应用 |
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| 引用本文： | 梁盼盼,周虎,王庆霞,杨建国.信息融合技术在地铁中央空调风机故障诊断中的应用[J].城市轨道交通研究,2011,14(4):91-94. |
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| 作者姓名： | 梁盼盼 周虎 王庆霞 杨建国 |
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| 作者单位： | 东华大学机械工程学院,201620,上海 |
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| 基金项目： | 上海市科学技术委员会科技攻关项目 |
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| 摘 要： | 以神经网络信息融合故障诊断技术为基础,利用多传感器对风机的运行状态进行监测,建立了地铁中央空调风机的故障诊断系统模型.该系统结构能有效地为地铁车站设备的维护提供方案,实用性强.
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| 关 键 词： | 地铁 空调风机 故障诊断 多传感器信息融合 |
Information Fusion Technology in Metro Central Air-conditioning Fan Fault Diagnosis |
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| Liang Panpan,Zhou Hu,Wang Qingxia,Yang Jianguo.Information Fusion Technology in Metro Central Air-conditioning Fan Fault Diagnosis[J].Urban Mass Transit,2011,14(4):91-94. |
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| Authors: | Liang Panpan Zhou Hu Wang Qingxia Yang Jianguo |
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| Institution: | Liang Panpan,Zhou Hu,Wang Qingxia,Yang Jianguo Donghua University College of Mechanical Engineering,201620,Shanghai,China |
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| Abstract: | In this paper,based on a fault diagnosis technology of the neural network information fusion,multiple sensors are used to monitor the operational state of the fan, and a metro fault diagnosis system model for central air-conditioning fan is established.The system can provide effective equipment maintenance for metro station with significant and strong practicability. |
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| Keywords: | metro air-conditioning fan fault diagnosis multi-sensor information fusion |
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