整合獨立成分分析與統計製程管制圖於產品件內和件間變異監控之應用

鄭春生; 黃國格

doi:10.6220/joq.2013.20(1).07

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P137 - 154

Social Sciences > Management

DOI： 10.6220/joq

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整合獨立成分分析與統計製程管制圖於產品件內和件間變異監控之應用

Monitoring of Within-Part and Between-Part Variations with Independent Component Analysis and Statistical Process Control

鄭春生(Chuen-Sheng Cheng) ；黃國格(Kuo-Ko Huang)

品質學報； 20卷1期 (2013 / 02 / 28) ， P137 - 154

繁體中文 DOI： 10.6220/joq.2013.20(1).07

件內和件間變異；統計製程管制；獨立成分分析； within-part and between-part variations ； statistical process control ； independent component analysis

Abstract │ Reference (23) │ Altmetrics

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With the complexity of product characteristics, it is now necessary to measure quality characteristic at different locations across a part. In the monitoring of product quality measurements, the temporal pattern and spatial variation pattern caused by a variation source may turn out to be the observed within- and between-part variations. It is feasible to apply traditional control charts to monitoring the within- and between-part variations. However, it may be neither effective nor efficient due to the fact that observed measurements are mixture of several variation sources.The proposed scheme first applies ICA methodology to the process observations to generate the independent components that contain different characteristics of the process. The I-MR control chart and Hotelling T^2 control chart are then used to monitor the independent components for process control. The proposed procedures were implemented via a simulated processes and a case study of the physical vapor deposition process. The experimental results show that the proposed methods can detect faults faster than I-MR-R/S control chart.

Reference ( 23 ) 〈TOP〉

黃馨瑩、邱志洲，2007，整合獨立成份分析與分類迴歸樹在製程干擾辨識上之應用，輔仁管理評論，14(3)，121-144。
連結：
Apley, D. W. and Lee, H. Y., 2003, Identifying spatial variation patterns in multivariate manufacturing processes: a blind separation approach, Technometrics, 45(3), 220-234.
連結：
Chen, W. S., 2012, Variation pattern identification and fault diagnosis of solder paste deposit by using independent component analysis, Journal of Quality, 19(1), 21-39.
連結：
Cheng, H. P. and Cheng, C. S., 2009, Control chart pattern recognition using wavelet analysis and neural networks, Journal of Quality, 16(5), 311-321.
連結：
Hsu, C. C., Chen, M. C., and Chen, L. S., 2010a, Integrating independent component analysis and support vector machine for multivariate process monitoring, Computers and Industrial Engineering, 59(1), 145-156.
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