Multivariate Statistical Process Control by Individual Observations
V N Klyachkin1, I N Karpunina2
1V N Klyachkin, Ulyanovsk State Technical University, Ulyanovsk, Russia.
2I N Karpunina, Ulyanovsk Civil Aviation Institute, Ulyanovsk, Russia.
Manuscript received on 08 April 2019 | Revised Manuscript received on 15 April 2019 | Manuscript Published on 24 May 2019 | PP: 590-593 | Volume-8 Issue-6S3 April 2019 | Retrieval Number: F11160486S319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Individual observations are often in use for multivariate statistical process control instead of instantaneous sampling. Some questions arise related to a covariance matrix assessment and determining the position of limits in the Hotelling chart and generalized variance. There was developed an algorithm of control by individual observations on the basis of potable water purity and heat sink cone processing parameters completed tests. There were also offered some control efficiency improvement methods through the ways of data normalization, warning limits use, random structures analysis.
Keywords: Combinations – Generalized Variance, Hotelling Chart, Model Average mid- Range, Normalization.
Scope of the Article: Computational Techniques in Civil Engineering