if shown control chart patterns, the six sigma black belt should be able to match the control chart with the correct situation ( e . g ., an outlier pattern vs . a gradual trend matched to a tool breaking vs . a machine gradually warming up ) 譯文:如果看一份控制圖,六西格瑪黑帶應(yīng)該能夠?qū)⒖刂茍D與正確的狀況匹配(例如,把超出控制限的圖案、漸進的趨勢與工具損壞、設(shè)計越來越熱相匹配。)
pattern recognition of abnormal control charts can provide clues to reveal potential quality problems in manufacturing process . it has been a necessary technology to realize the automatic recognition of abnormal patterns with the need of automation and intelligence of pqc . in this paper, a new ann model named regional supervised feature mapping ( rsfm ) network is proposed to recognize the control chart patterns, which include six basic patterns and their mixed patterns 提出了一種新型的神經(jīng)網(wǎng)絡(luò)模型??局部有監(jiān)督特征映射(regionalsupervisedfeaturemapping,rsfm)網(wǎng)絡(luò),對網(wǎng)絡(luò)的收斂性、模式分類和自適應(yīng)能力等性能進行了理論分析和實驗驗證,結(jié)果表明該網(wǎng)絡(luò)學(xué)習(xí)快速,特征提取能力強,自適應(yīng)能力也較好。