Paper Title:
Decomposition of T2 Signal for Multivariate Assembly Process Control Using Bayesian Network
  Abstract

The process monitoring and diagnosis in assembly process is important. Multivariate T2 control charts are applied to detect the mean shift and interaction change in the assembly process. However, T2 charts can not identify the root cause of the change. The traditional MTY method for T2 signal decomposition is computationally expensive, especially when the dimension of the variables is high. A new approach based on Bayesian network to identify the significant cause of T2 signals is proposed in this paper. The headlamp bracket case is used to illustrate the overall procedure. And the effectiveness of the proposed approach is evaluated.

  Info
Periodical
Advanced Materials Research (Volumes 314-316)
Chapter
The Internet of Things
Edited by
Jian Gao
Pages
2370-2374
DOI
10.4028/www.scientific.net/AMR.314-316.2370
Citation
Y. H. Liu, Y. Yang, "Decomposition of T2 Signal for Multivariate Assembly Process Control Using Bayesian Network", Advanced Materials Research, Vols. 314-316, pp. 2370-2374, 2011
Online since
August 2011
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Price
$32.00
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