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基于程控系统的输煤故障诊断
Fault diagnosing model of local slagging on water walls of pulverized coal fired boilers
【摘要】 为提高国内火电厂输煤系统的自动控制和管理水平,建造了输煤程控系统。它可以对输煤系统中的各种设备进行实时监测和控制。采用现场设备状态的实时捕捉、可编程控制梯形逻辑判断和上位机监控软件分析等方法,对输煤系统的各种故障能及时准确地进行监视、诊断和报警。该方法已成功应用于萧山电厂输煤程控系统,取得了很好的经济效益。
【Abstract】 Local slagging faults of water walls of pulverized coal fired boilers are often occurred. It is very important to diagnose these faults immediately in order to improve the economy and safety of boilers. The main characteristic parameters being proper to diagnose the slagging faults were analysised. A model of local slagging fault diagnosis using a neural network method was presented. This neural network model was trained and tested using the parameters given by an mathematical model. The simulating results show that this method is characterized by fast and accurate diagnosis, and is easy and can be used widespreadly.
【Key words】 coal fired boilers; slagging; fault diagnosis; neural network ;
- 【文献出处】 清华大学学报(自然科学版) ,JOURNAL OF TSINGHUA UNIVERSITY(SCIENCE AND TECHNOLOGY) , 编辑部邮箱 ,1999年12期
- 【分类号】TK323
- 【被引频次】5
- 【下载频次】89