Fault Diagnosis for Electrohydraulic Servo Valve Based on Support Vector Machine

DOI

10.2991/iccasm.2012.354How to use a DOI?

Keywords

Keywords-multi-classification, fault diagnosis, Support Vector Machine (SVM), Directed Acyclic Graph (DAG), electro-hydraulic servo valve

Abstract

Fault diagnosis for hydraulic components has features of nonlinearity and high dimensional pattern identification, so it’s difficult to do it accurately with small sample using some common methods. Aimed at this problem, fault analysis for electro-hydraulic servo valve is carried on and the thought of symptom parameters reflecting the running status is illustrated.firstly. Then combining with function in the toolbox of MATLAB, the function to carry out multi-classification fault diagnosis based on Directed Acyclic Graph (DAG) Support Vector Machine (SVM) theory is built. At last, an example of fault diagnosis t is taken to test and verify the effectiveness of this method.

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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TY  - CONF
AU  - Shiqiang Li
AU  - Tongmin Jiang
AU  - Xiaoyang Li
PY  - 2012/08
DA  - 2012/08
TI  - Fault Diagnosis for Electrohydraulic Servo Valve Based on Support Vector Machine
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 1385
EP  - 1389
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.354
DO  - 10.2991/iccasm.2012.354
ID  - Li2012/08
ER  -