摘要
将径向基函数神经网络用于汽轮发电机组能损在线监测系统，当系统中个别测点失效时，可采用预先学习好的神经网络进行仿真，产生与机组实时运行状态相适应的数据以取代失效测点。与传统方法比较，可使系统的准确性、可靠性大为提高。
This paper used radial base function neural network on the real time analysis of turbine＇s energy loss．When there was individual measure point invalidation in the systemit can emulate with the network being learned beforehand and produce accommodated data in order to replace the lapse measure point．Compared with the traditional method it acquired less error．This property is very fit for thermodynamic analysis．
出处
《华中电力》
2001年第3期30-32,共3页
Central China Electric Power
