| 基于 SVR的传感器静态误差修正 |
| |
| 引用本文： | 丁蕾,朱德权. 基于 SVR的传感器静态误差修正[J]. 安庆师范学院学报(自然科学版), 2014, 0(4): 58-60 |
| |
| 作者姓名： | 丁蕾 朱德权 |
| |
| 作者单位： | 安庆师范学院 物理与电气工程学院,安徽 安庆,246133 |
| |
| 基金项目： | 安徽省教育厅自然科学研究重点项目(KJ2014A146)资助。 |
| |
| 摘 要： | 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。
|
| 关 键 词： | 误差修正 压力传感器 |
Static Error Correction of the Sensor Based on SVR |
| |
| DING Lei,ZHU De-quan. Static Error Correction of the Sensor Based on SVR[J]. Journal of Anqing Teachers College(Natural Science Edition), 2014, 0(4): 58-60 |
| |
| Authors: | DING Lei ZHU De-quan |
| |
| Affiliation: | (School of Physics and Electronic Engineering, Anqing Teachers College, Anqing 246133, China) |
| |
| Abstract: | 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＆#39;s stability, it proves to be much better than traditional error correction methods. |
| |
| Keywords: | error correction SVR Matlab pressure sensor |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
