Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

How to Use the Method of Multivariate Statistical Analysis Into the Equipment State Monitoring

Authors
Chunhua Yang
Corresponding Author
Chunhua Yang
Available Online December 2015.
DOI
10.2991/icmmcce-15.2015.35How to use a DOI?
Keywords
Multivariate statistical analysis, Equipment state, ICA, KPCA, Automobile gearbox
Abstract

The method of multivariate statistical analysis is a branch of classical statistics, is a comprehensive analysis method, it can also have each other for multiple objects and the index of correlation analysis, parsing the statistical rule between them, at present has been widely applied to agricultural scientific research and industry. Using multivariate statistical analysis can be for condition detection and accurate diagnosis of industrial equipment, find their potential failure. In this paper, it based on independent component analysis ICA method of multivariate statistical analysis on the automobile gear box of equipment state monitoring and analysis.

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 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
Series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
10.2991/icmmcce-15.2015.35
ISSN
2352-538X
DOI
10.2991/icmmcce-15.2015.35How 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  - Chunhua Yang
PY  - 2015/12
DA  - 2015/12
TI  - How to Use the Method of Multivariate Statistical Analysis Into the Equipment State Monitoring
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SP  - 176
EP  - 181
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.35
DO  - 10.2991/icmmcce-15.2015.35
ID  - Yang2015/12
ER  -