工业技术创新
工業技術創新
공업기술창신
Industrial Technology Innovation
2015年
2期
199-203
,共5页
压缩感知%装配结构%稀疏%正交匹配追踪法
壓縮感知%裝配結構%稀疏%正交匹配追蹤法
압축감지%장배결구%희소%정교필배추종법
Compressed sensing(CS)%Assembly structure%Sparsity%Orthogonal matching pursuit Pursuit(OMP) algorithm
针对工厂一般采用批量产品的抽检对产品内部结构进行检验,由于受人为因素的影响很容易造成漏判和误判,提出了将压缩感知理论应用到产品内部装配正确性的检测。首先通过比较选用了具有优势的K-SVD算法来构造稀疏基矩阵,在解决稀疏解时采用了运算复杂度较低的贪婪算法,通过验证选取了具有优势的正交匹配追踪(OMP)进行分类。实验结果表明,随着训练样本数量的增加正确识别率在增加但是以时间的增加为代价,在保证识别率的前提下采用了PCA降维,可有效节约时间为4.41S,提高了识别速度。
針對工廠一般採用批量產品的抽檢對產品內部結構進行檢驗,由于受人為因素的影響很容易造成漏判和誤判,提齣瞭將壓縮感知理論應用到產品內部裝配正確性的檢測。首先通過比較選用瞭具有優勢的K-SVD算法來構造稀疏基矩陣,在解決稀疏解時採用瞭運算複雜度較低的貪婪算法,通過驗證選取瞭具有優勢的正交匹配追蹤(OMP)進行分類。實驗結果錶明,隨著訓練樣本數量的增加正確識彆率在增加但是以時間的增加為代價,在保證識彆率的前提下採用瞭PCA降維,可有效節約時間為4.41S,提高瞭識彆速度。
침대공엄일반채용비양산품적추검대산품내부결구진행검험,유우수인위인소적영향흔용역조성루판화오판,제출료장압축감지이론응용도산품내부장배정학성적검측。수선통과비교선용료구유우세적K-SVD산법래구조희소기구진,재해결희소해시채용료운산복잡도교저적탐람산법,통과험증선취료구유우세적정교필배추종(OMP)진행분류。실험결과표명,수착훈련양본수량적증가정학식별솔재증가단시이시간적증가위대개,재보증식별솔적전제하채용료PCA강유,가유효절약시간위4.41S,제고료식별속도。
Factories usually use batch product checking to test the interior assembly structure of product, and influenced by artificial factors it is eased to cause false negatives and miscalculation, a method using Compressed Sensing to solve this problem is proposed. First of all, in order to construct sparse matrix choosing the advantages K-SVD algorithm, to solve the sparse solution using the greedy algorithm of the low computing complexity, through the verification, selecting the Orthogonal Matching Pursuit(OMP) algorithm. Experiment result show that with the increase of training sample number the correct recognition rate is on the raise, but at the expense of the time, on the premise of ensuring the recognition rate that adopting PCA to reduce the dimension can effectively ave about 4.41 seconds, improve the recognition speed.