This paper presents one new method of nonlinear calibration for temperature measurement sensors of power plant, which is based on CMAC neural network and data collecting and monitoring system.
本文充分利用CMAC神经网络的非线性函数逼近功能，并结合电站数据采集和监测系统，提出一种校正电站测温传感器非线性输出特性的新方法。
We put forward the calibration method and list the detailed calibration process and data, then acquire system measurement results.
设计了系统标定方法，给出了详细的标定步骤和实验数据，最终得到系统测量结果。
This paper proposed a method to establish the reliable standard channel for the calibration system and used the uncertainty theory to evaluate the uncertainty of the measurement results.
提出了建立校验系统可信赖标准通道的方法，并利用不确定度理论对校验系统的测量结果进行评定。
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