CAJ | 학술논문

为了提高传感器的稳定性和目标参量的测量精度，本文提出了一种基于支持向量机回归估计（SVR）的传感器静态误差修正方法。仿真实验结果表明，该方法能有效降低压力传感器的灵敏度温度系数，提高压力的测量精度。其相对温度变化的稳定性明显优于传统的传感器静态误差修正方法。
위료제고전감기적은정성화목표삼량적측량정도，본문제출료일충기우지지향량궤회귀고계（SVR）적전감기정태오차수정방법。방진실험결과표명，해방법능유효강저압력전감기적령민도온도계수，제고압력적측량정도。기상대온도변화적은정성명현우우전통적전감기정태오차수정방법。
To improve the stability of the sensor and the measurement accuracy of the goal parameter , a new static error cor-rection method of the sensor based on support vector machine for regression ( SVR) is presented.Experimental results show that the proposed method can decrease the temperature sensitivity coefficient of pressure sensor and improve the measurement accuracy of pressure validly.Judging from it's stability, it proves to be much better than traditional error correction methods.