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

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Sensor Fault Diagnosis Method Based on Support Vector Regression

Authors
Xianhao Shen
Corresponding Author
Xianhao Shen
Available Online August 2012.
DOI
10.2991/iccasm.2012.120How to use a DOI?
Keywords
Support Vector Regression, Sensor, Fault Diagnosis system
Abstract

This article design a sensor fault diagnosis system base on Support Vector Regression. SVR is trained out of line, and used online. After being trained, SVR is used to simulate dynamic characteristic of diesel engine temperaturecontrolling system. The simulation result shows that, SVR can simulate the system more accurately, track the output signal of sensor, and diagnose the sensor 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.2012.120
ISSN
1951-6851
DOI
10.2991/iccasm.2012.120How 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

risenwbib
TY  - CONF
AU  - Xianhao Shen
PY  - 2012/08
DA  - 2012/08
TI  - Sensor Fault Diagnosis Method Based on Support Vector Regression
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 473
EP  - 475
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.120
DO  - 10.2991/iccasm.2012.120
ID  - Shen2012/08
ER  -