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| 电站凝汽器运行状态监测智能决策系统研究 |
| Research on the intelligence decision-making system for monitoring of condenser running state in power plants |
| 修订日期：2007-03-06 |
| DOI： |
| 中文关键词: 电路 凝汽器 故障诊断 性能优化 |
| 英文关键词:condenser failure diagnosis performance optimization |
| 基金项目: |
| 司丽丽 陈荣生 滕丕忠 杨亚平 |
| [1]东南大学能源与环境学院,江苏南京210096 [2]福建电力技术学院,福建泉州364000 |
| 摘要点击次数: 2341 |
| 全文下载次数: 71 |
| 中文摘要: |
| 凝汽器系统是电站凝汽式汽轮机的重要辅助设备,其运行状态的优劣对汽轮机组的安全性与经济性都有很大影响。针对某火力发电厂凝汽器系统,设计了将故障诊断和性能优化融合在一起的状态监测智能决策系统软件。该软件具有两大特色：一是性能优化与故障诊断的结合;二是故障诊断采用模糊神经网络与专家推理串行连接的模式。主要介绍了系统的组成、接口及其特点。该软件已在运行中得到了成功应用。 |
| 英文摘要: |
| The condenser system is important auxiliary equipment for condensing the turbine unit in a power plant. The performance of the condenser system has a great impact on the security and economy of the turbine unit. A software design of intelligence decision-making system for the condenser system in a power plant is carried out. One of the features of this software system is that it combines failure diagnosis with performance optimization. In addition, the mode of neural network in series with expert system is applied in condenser system failure diagnosis. This software system has been applied to practical operation successfully. |
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