基于红外线的针织白色布面疵点监测方法的研究  

Study of white knitting surface defects monitoring method based on Infrared

作　　者：张翠华 张田龙 王帅 

机构地区：[1]石家庄市学森自动化科技有限公司,河北石家庄050081

出　　处：《河北省科学院学报》2017年第2期24-27,共4页Journal of The Hebei Academy of Sciences

摘　　要：针织布匹生产过程中,容易产生"坏针、打针"现象,发现不及时,缺陷延伸至整匹布,造成布匹浪费,而这种缺陷,微小,不容易发现。针对坏针漏针疵点信号变化幅值小、速度快的特点,将对应信号进行了分流耦合滤波,提高了微小疵点检测的准确度,通过上下限随动异常信号的离散积分算法优化了对微小疵点的识别,改进了扫描探头外形结构,提高了产品的稳定性。In the production knitted fabric, ＂ Bad needle injections＂ phenomenon is easy to produce.If not found in time,the defect extends to the whole cloth,cloth caused by waste,and such defects,small,not easy to find.The characteristics of needle leakage defect signal amplitude is small,fast speed,the corresponding signal of the shunt coupled filter,improve tiny defect detection accuracy,through the upper and lower limits with abnormal signal discrete integral algorithm to optimize the recognition of micro defects,improve the scanning probe shape structure,improve the product stability.

关 键 词：分流 耦合滤波 离散积分 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]