Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)

Comparison of Different Fault Detection Statistics Detectability in PCA

Authors
Tian Qiu, Xiaojing Bai
Corresponding Author
Tian Qiu
Available Online August 2012.
DOI
10.2991/iccasm.2012.117How to use a DOI?
Keywords
process monitoring, fault detection, Principal component analysis
Abstract

Detectability of the sensor fault detection system is the basic criteria for selecting of different fault detection statistics. and in MPCA are compared with . The complementary among them is analyzed qualitatively. Results of power plant data simulation show that and in MPCA can improve sensor fault detection, but is still better for some sensors. Combination of , and can improve sensor fault detectability of PCA-based fault detection system.

Copyright
© 2012, 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 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
Series
Advances in Intelligent Systems Research
Publication Date
August 2012
ISBN
10.2991/iccasm.2012.117
ISSN
1951-6851
DOI
10.2991/iccasm.2012.117How to use a DOI?
Copyright
© 2012, 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  - Tian Qiu
AU  - Xiaojing Bai
PY  - 2012/08
DA  - 2012/08
TI  - Comparison of Different Fault Detection Statistics Detectability in PCA
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 462
EP  - 465
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.117
DO  - 10.2991/iccasm.2012.117
ID  - Qiu2012/08
ER  -