| 离散跟踪微分器在板形识别上的研究与应用 |
| |
| 引用本文： | 何力,王京,张飞.离散跟踪微分器在板形识别上的研究与应用[J].钢铁研究学报,2013,25(2):58-61. |
| |
| 作者姓名： | 何力 王京 张飞 |
| |
| 作者单位： | 北京科技大学高效轧制国家工程中心,北京,100083 |
| |
| 基金项目： | 中央高校基本科研业务费专项资金资助项目(FRF-TP-11-003A) |
| |
| 摘 要： | 实际生产过程中很多因素会对板形信号产生干扰，从而造成板形缺陷识别不准确。针对这一问题，在板形勒让德多项式回归分解识别方法基础上应用最速离散跟踪微分器对板形信号进行滤波处理，消除噪声干扰。仿真结果表明，两种方法相结合后在板形缺陷识别的精确度和抗干扰性方面都有很好的效果。
|
| 关 键 词： | 板形平坦度 信号滤波 跟踪微分器 模式识别 |
Research and Application of Discrete Tracking Differentiator in Shape Flatness Recongnition |
| |
| HE Li,WANG Jing,ZHANG Fei.Research and Application of Discrete Tracking Differentiator in Shape Flatness Recongnition[J].Journal of Iron and Steel Research,2013,25(2):58-61. |
| |
| Authors: | HE Li WANG Jing ZHANG Fei |
| |
| Affiliation: | National Engineering Research Center for Advanced Rolling, University of Science and Technology Beijing, Beijing 100083, China |
| |
| Abstract: | Many interference factors can affect the accuracy of shape flatness measuring in actual production processing. Based on the Lagendre polynomial regression decomposition method, the steepest discrete tracking differentiator was used in flatness parameter identification to filter flatness signal and remove the noise interference. The results show that it has a good effect on the precision and anti-interference of flatness identification. |
| |
| Keywords: | shape flatness signal filter tracking differentiator pattern recognition |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《钢铁研究学报》浏览原始摘要信息 |
|
点击此处可从《钢铁研究学报》下载全文 |
