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QUALITY CONTROL OF SEMICONDUCTOR PACKAGING BASED ON PRINCIPAL COMPONENTS ANALYSIS 被引量:2
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作者 HE Shuguang QI Ershi HE Zhen NIE Bin 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2007年第6期84-86,共3页
5 critical quality characteristics must be controlled in the surface mount and wire-bond process in semiconductor packaging. And these characteristics are correlated with each other. So the principal components analy... 5 critical quality characteristics must be controlled in the surface mount and wire-bond process in semiconductor packaging. And these characteristics are correlated with each other. So the principal components analysis(PCA) is used in the analysis of the sample data firstly. And then the process is controlled with hotelling T^2 control chart for the first several principal components which contain sufficient information. Furthermore, a software tool is developed for this kind of problems. And with sample data from a surface mounting device(SMD) process, it is demonstrated that the T^2 control chart with PCA gets the same conclusion as without PCA, but the problem is transformed from high-dimensional one to a lower dimensional one, i.e., from 5 to 2 in this demonstration. 展开更多
关键词 Semiconductor packaging principal components analysis quality control
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Identification of coastal water quality by multivariate statistical techniques in two typical bays of northern Zhejiang Province,East China Sea 被引量:4
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作者 YE Ran LIU Lian +4 位作者 WANG Qiong YE Xiansen CAO Wei HE Qinyan CAI Yanhong 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2017年第2期1-10,共10页
The Hangzhou Bay(HZB) and Xiangshan Bay(XSB), in northern Zhejiang Province and connect to the East China Sea(ECS) were considerably affected by the consequence of water quality degradation. In this study, we an... The Hangzhou Bay(HZB) and Xiangshan Bay(XSB), in northern Zhejiang Province and connect to the East China Sea(ECS) were considerably affected by the consequence of water quality degradation. In this study, we analyzed physical and biogeochemical properties of water quality via multivariate statistical techniques. Hierarchical cluster analysis(HCA) grouped HZB and XSB into two subareas of different pollution sources based on similar physical and biogeochemical properties. Principal component analysis(PCA) identified three latent pollution sources in HZB and XSB respectively and emphasized the importance of terrestrial inputs, coastal industries as well as natural processes in determining the water quality of the two bays. Therefore, proper measurement for the protection of aquatic ecoenvironment in HZB and XSB were of great urgency. 展开更多
关键词 coastal water quality Hangzhou Bay Xiangshan Bay hierarchical cluster analysis principal component analysis latent pollution sources
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