HGU

Results of experiments demonstrate these theorems. In addition, information fusion is applied in HGU fault diagnosis.

此外，将信息融合技术应用于水电机组故障诊断，得到了更准确的诊断结论。

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Hardware and software design of each module is finished based on general design of the system. At the same time, Fault Diagnosis Expert Subsystem and SVM Assistant Decision Subsystem are built. The system could satisfy many requirements of HGU condition monitoring and fault diagnosis.

在系统总体设计的框架下，完成了各功能模块的硬件设计和软件设计，建立了故障诊断专家子系统和SVM辅助决策子系统，以满足水电机组稳定性状态监测和故障诊断的实际需要。

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System architecture for HGU is proposed in this dissertation in order to realize the real-time condition monitoring and provide the information for fault diagnosis and optimal maintenance.

本文旨在研究实现水电机组优化维护系统中实时状态监测功能的技术与方法及其现场应用。

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So the research of support vector machines in HGU fault diagnosis need to be further studied.

因而，支持向量机方法在水电机组故障诊断理论与应用方面的研究均有待于进一步的深入和完善。

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It provides the theoretical reference and practical use for maintenance of the governor system equipments. Finally, a real-time 、 embedded condition monitoring and diagnosis system for governor system has been designed and developed which is based on the research of real-time monitoring and analysis technology for HGU.

为进行水轮机调速系统设备分析提供了理论参考和实际应用。最后，在机组实时状态监测与分析技术研究的基础上，设计开发了具有实时性、嵌入式的机组调速系统状态监测与诊断单元。

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The mapping relations between the diagnosis system of HGU and AIS are set up. The diagnostic schemes corresponding to the primary response and the second response are discussed detail.

建立了机组诊断系统与免疫系统的映射关系，详细阐述了分别对应于免疫初次应答和二次应答的诊断流程。

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Using this system has saved the manpower and resources of operation and maintenance. It also has effectively improved the maintenance quality and the effectiveness and economy of maintenance of HGU. It has a very important significance for gradually achieving condition maintenance of hydropower plants.

实际应用表明该系统节省了运行与检修人力与物力，有效地提高了水电机组运行与维护质量及检修的有效性与经济性，对于水电厂逐步实现状态检修具有非常重要的意义。

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