| 基于多源信息融合技术的动车故障诊断 |
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| 引用本文： | 田静宜,杨业,赵文静,赵文平. 基于多源信息融合技术的动车故障诊断[J]. 机械管理开发, 2013, 0(4): 127-128 |
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| 作者姓名： | 田静宜 杨业 赵文静 赵文平 |
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| 作者单位： | [1]河北联合大学轻工学院,河北唐山063000 [2]唐山轨道客车有限责任公司,河北唐山063035 |
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| 摘 要： | 介绍多源信息融合故障诊断方法,以及动车故障诊断特点和常见故障类型。以制动系统为例,分析该方法的可行性和实现步骤。建立基于多源信息融合和神经网络的故障诊断系统,通过多种信号的融合诊断,减小系统的不确定性,从而提高故障诊断的可靠性。
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| 关 键 词： | 多源信息融合 故障诊断技术 CRH3动车组 |
EMU Fault Diagnosis Based on Multi-source Information Fusion Technology |
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| TIAN Jing-yi,YANG Ye,ZHAO Wen-jing,ZHAO Wen-ping. EMU Fault Diagnosis Based on Multi-source Information Fusion Technology[J]. Mechanical Management and Development, 2013, 0(4): 127-128 |
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| Authors: | TIAN Jing-yi YANG Ye ZHAO Wen-jing ZHAO Wen-ping |
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| Affiliation: | 1.Qinggong College,Hebei United University, Tangshan 063000,China; 2.Tangshan Railway Vehicle Co.,Ltd, Tangshan 063035,China) |
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| Abstract: | Introduce the multi-source information fusion fault diagnosis method ,EMU fault diagnostic characteristics and common type of fault. Braking system , for example , analysis the feasibility and implementation steps. Established the fault diagnosis system based on multi-source information fusion and neural network, though the integration of a variety of diagnosis signal, reduce the uncertainty of the system, and improve the reliability of the fault diagnosis. |
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| Keywords: | multi-source information fusion fault diagnosis technology CRH3 EMMU |
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