Algorithm of Multivariate Process Quality Control Based on Joint Control Domain Conversion

DOI

10.2991/ic3me-15.2015.293How to use a DOI?

Keywords

Quality control; Joint control domain; Principal components analysis; Control charts

Abstract

Aiming at the problem of multivariate process quality control, an algorithm based on joint control domain transformation is proposed. By using the principal components analysis method, original quality vector is converted to a new one whose components are unrelated, thus the joint control domain of new quality vector is a hyper ellipsoid whose axes are parallel with the corresponding axes in multidimensional space, and is contained in the hyper cube formed by the intersection of every components’ control limits, so the process quality control system is simplified and the number of control charts is reduced. Theoretical analysis and experiments prove that the proposed algorithm based on joint control domain transformation could monitor the shift of process quality effectively, and the efficiency of process quality control system is improved.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Qing Niu
PY  - 2015/08
DA  - 2015/08
TI  - Algorithm of Multivariate Process Quality Control Based on Joint Control Domain Conversion
BT  - Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering
PB  - Atlantis Press
SP  - 1526
EP  - 1531
SN  - 2352-5401
UR  - https://doi.org/10.2991/ic3me-15.2015.293
DO  - 10.2991/ic3me-15.2015.293
ID  - Niu2015/08
ER  -