Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

Research on Tracing Aircraft Assembly Error Source Based on SPC and SOFM

Authors
Hui Li, Zhongqi Wang, Yonggang Kang, Lan Xu
Corresponding Author
Hui Li
Available Online April 2015.
DOI
10.2991/amcce-15.2015.74How to use a DOI?
Keywords
Aircraft assembly; Trace error source; SPC; SOFM; Distance strain
Abstract

Aiming at improving the assembly quality, a method to trace the error source is proposed. Firstly, statistical process control (SPC) judges the abnormalitythrough the distribution and trend of the position errors. Then based on the measurement data from laser trackers, shape data of aircraft components is constructed to mine the small assembly data. Finally, an unsupervised learning method (SOFM) is adapted to cluster each flight to achieve error source tracing.

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/).

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Volume Title
Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
Series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
10.2991/amcce-15.2015.74
ISSN
1951-6851
DOI
10.2991/amcce-15.2015.74How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Hui Li
AU  - Zhongqi Wang
AU  - Yonggang Kang
AU  - Lan Xu
PY  - 2015/04
DA  - 2015/04
TI  - Research on Tracing Aircraft Assembly Error Source Based on SPC and SOFM
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 383
EP  - 387
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.74
DO  - 10.2991/amcce-15.2015.74
ID  - Li2015/04
ER  -