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。

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This kind of gyro calibration is to calculate the constant drifts of gyros using the telemetry data of the sun sensors and the rate integrating gyros through twice attitude maneuvers.

此种陀螺标定需进行两次姿态机动，利用太阳敏感器和速率积分陀螺遥测数据标定陀螺的常值漂移。

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