A methodology of pattern recognition schemes for two variables in SPC
International Journal of Quality & Reliability Management
ISSN: 0265-671X
Article publication date: 1 April 1995
Abstract
Prototype patterns and pattern diagnostic characteristics have been proposed in a previous article. Simulation results based on the prototypes and the diagnostic characteristics have also been presented as a justification for the study. Outlines a methodology, with three major components, which designates eight processors to identify the unnatural pattern. The working memory (blackboard) characterizes the symbolic structure of the transformed data and stores the intermediate results from each processor. Eight processors are the kernel of the knowledge base used to classify the pattern of the observations. The comparison of intermediate results is executed in the inference engine, which makes the preliminary decision. The implementation of the processors is coded in Turbo C and runs on an IBM PC/XT/AT or compatible PC. The results of the implementation and validation demonstrate that the methodology does a good job for two‐variable pattern recognition.
Keywords
Citation
Chih, W. and Rollier, D.A. (1995), "A methodology of pattern recognition schemes for two variables in SPC", International Journal of Quality & Reliability Management, Vol. 12 No. 3, pp. 86-107. https://doi.org/10.1108/02656719510084808
Publisher
:MCB UP Ltd
Copyright © 1995, MCB UP Limited