题名

Variation Pattern Identification and Fault Diagnosis of Solder Paste Deposit by Using Independent Component Analysis

DOI

10.6220/joq.2012.19(1).02

作者

Wei-Shing Chen

关键词

solder paste printing ; fault diagnosis ; variation pattern identification ; independent component analysis

期刊名称

品質學報

卷期/出版年月

19卷1期(2012 / 02 / 01)

页次

20 - 38

内容语文

英文

英文摘要

The objective of this paper is to identify the variation pattern vectors based on a simulated sample of measurement data and then to use the estimates to gain insight into the root cause of the variation patterns in a solder paste printing process. Independent component analysis (ICA) is applied to identify variation pattern and diagnosis faults. From the results of the case study, it indicates that the direction and magnitude of coefficients in the mixing matrix can be restored in a meaningful approach by using the proposed approach. However, the proposed method in this paper for estimating patterns has several limitations, such as a high level of user subjectivity in the ambiguity reduction of mixing matrix.

主题分类 社會科學 > 管理學
参考文献
  1. Tseng, Y.-H.,Tsai, D.-M.(2006).Using independent component analysis based process monitoring in TFT-LCD manufacturing.Journal of the Chinese Institute of Industrial Engineers,23(3),262-267.
    連結:
  2. Apley, D. W.,Shi, J.(2001).A factor-analysis method for diagnosing variability in multivariate manufacturing processes.Technometrics,43(1),84-95.
  3. Apley, D. W.,Shi, J.(1998).Diagnosis of multiple fixture faults in panel assembly.Journal of Manufacturing Science and Engineering,120,793-801.
  4. Barton, R. R.,González-Barreto, D. R.(1999).Process-Oriented basis representations linking manufacturing process design and diagnosis.Proceedings of the 6th European Concurrent Engineering Conference
  5. Basseville, M.,Nikiforov, I. V.(1993).Detection of Abrupt Changes: Theory and Application.Englewood Cliffs, NJ.:Prentice Hall.
  6. Box, G. E. P.,Jenkins, G. M.,Reinsel, G. C.(1994).Time Series Analysis: Forecasting and Control.Englewood Cliffs, NJ.:Prentice Hall.
  7. Ceglarek, D.,Shi, J.(1996).Fixture failure diagnosis for autobody assembly using pattern recognition.Journal of Engineering for Industry,118(1),55-66.
  8. Da, H.,Ekere, N. N.,Currie, M. A.(1998).The behavior of solder pastes in stencil printing with vibrating squeegee.IEEE Transactions on Components, Packaging, and Manufacturing Technology Part C,21(4),317-324.
  9. Feldmann, K.,Sturm, J.(1994).Closed loop quality control in printed circuit assembly.IEEE Transactions on Components, Packaging, and Manufacturing Technology Part A,17(2),270-276.
  10. Glass, S.,Thomsen, J.(1993).How SMT boards are assembled?.Printed Circuit Fabrication,16,42-47.
  11. Gonzalez-Barreto, D. R.(1996).Centre County, Pennsylvania,Pennsylvania State University.
  12. Hyvärinen, A.,Oja, E.(2000).Independent component analysis: algorithms and applications.Neural Networks,13(4-5),411-430.
  13. Jianbiao, P.,Tonkay, G. L.,Storer, R. H.,Sallade, R. M.,Leandri, D. J.(2004).Critical variables of solder paste stencil printing for micro-BGA and fine-pitch QFP.IEEE Transactions on Electronics Packaging Manufacturing,27(2),125-132.
  14. Jiao, W.,Yang, S.,Qian, S.,Yan, G.(2006).A new method for recognition of independent noise sources of complex system under strong noisy environment.China Mechanical Engineering,17(7),673-677.
  15. Johnson, R. A.,Wichern, D. W.(1998).Applied Multivariate Statistical Analysis.Upper Saddle River, NJ.:Prentice Hall.
  16. Kano, M.,Tanaka, S.,Ohno, H.,Hasebe, S.,Hashimoto, I.(2002).The use of Independent component analysis for multivariate statistical process control.Proceedings of International Symposium on Advanced Control of Industrial Processes (AdCONIP' 02)
  17. Kresta, J. V.,Macgregor, J. F.,Marlin, T. E.(1991).Multivariate statistical monitoring of process operating performance.The Canadian Journal of Chemical Engineering,69(1),35-47.
  18. Lee, H. Y.,Apley, D. W.(2004).Diagnosing manufacturing variation using second-order and fourth-order statistics.The International Journal of Flexible Manufacturing Systems,16(1),45-64.
  19. Montgomery, D. C.(2005).Introduction to Statistical Quality Control.New York:John Wiley & Sons.
  20. Nomikos, P.,MacGregor, J. F.(1994).Monitoring batch processes using multiway principal component analysis.AIChE Journal,40(8),1361-1375.
  21. Tobias, R. D.(1995).An introduction to partial least squares regression.Proceedings of the 20th SAS Users Group International Conference
被引用次数
  1. 鄭春生、黃國格(2013)。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。品質學報,20(1),137-154。