CAJ | 학술논문

拉托力是判断复合材料的粘接强度的一个重要指标，针对金属与非金属粘接复合材料的粘接强度检测，提出基于标准差加权融合算法可预测其拉托力，最后根据数理统计预测出拉托力的范围。多传感器数据融合是充分利用多传感器资源，消除单个或少量传感器的局限性。为了能够准确利用各个传感器的数值，减少传感器之间的数据冗余，先将传感器按照声阵列方式放置，再将各个传感器进行多次测量取其标准差，对其标准差所占的权重进行加权融合。融合表明，该算法简单且可以提高拉托力的预测精度。
랍탁력시판단복합재료적점접강도적일개중요지표，침대금속여비금속점접복합재료적점접강도검측，제출기우표준차가권융합산법가예측기랍탁력，최후근거수리통계예측출랍탁력적범위。다전감기수거융합시충분이용다전감기자원，소제단개혹소량전감기적국한성。위료능구준학이용각개전감기적수치，감소전감기지간적수거용여，선장전감기안조성진렬방식방치，재장각개전감기진행다차측량취기표준차，대기표준차소점적권중진행가권융합。융합표명，해산법간단차가이제고랍탁력적예측정도。
To determine the bond strength of composite materials, rato force is is an important indicator, for metal and non-adhesive bond strength of composite materials testing, proposed fusion algorithm based on the weighted standard deviation and can predict its rato force, the final prediction the rato force range based on mathematical statistics. Multi sensor data fusion is to make full use of multi sensor resources, eliminate the limitation of single or a small amount sensor. In order to accurately use various sensor values, reduced between the sensor data redundancy, the first sensor according to the acoustic array placement, then each sensor measurement of many times the standard deviation, the standard deviation of the weights of weighted fusion.Ntegration shows that the algorithm is simple and can improve the prediction accuracy of rato force.