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文中旨在克服传统汽包水位故障诊断方法中存在的弊端,将基于RBF网络的信息融合技术应用于水位传感器的故障诊断,通过构建高精度RBF网络逼近器,结合其他聚类融合方法,引入多种类、多数量传感器信号和控制决策预测信号的汽包水位多传感器数据融合控制系统,其利用多传感器信息融合技术对火电厂锅炉系统中相关传感器提供的大量数据进行融合,从而得到汽包水位的高精度逼近值,以逼近值作为监测水位传感器状态的参考基准,来实现对汽包水位的有效故障诊断。仿真结果证明了所设计的系统能够准确、快速的融合处理底层传感器信号,并做出有效的控制决策。
The aim of the paper is to overcome the shortcomings of traditional drum water level fault diagnosis methods. The information fusion technology based on RBF network is applied to the fault diagnosis of water level sensors. By constructing a high-precision RBF network approximation device and combining with other clustering fusion methods, Type, multi-sensor signal and control decision-making prediction signal, the multi-sensor data fusion control system of multi-sensor information fusion technology is used to fuse a large amount of data provided by relevant sensors in the boiler system of thermal power plant to obtain the data of the water level High-precision approximation value approximation value as a reference to monitor the status of the water level sensor to achieve effective fault diagnosis of the drum level. Simulation results show that the designed system can accurately and quickly integrate the underlying sensor signals and make effective control decisions.