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

SVM and wavelet analysis method for hydraulic pump fault of rock drilling

Authors
Jian-hua Liu, Wen-bin Ma
Corresponding Author
Jian-hua Liu
Available Online April 2015.
DOI
10.2991/amcce-15.2015.332How to use a DOI?
Keywords
Rock drilling;SVM ;Fault diagnosis; Wavelet analysis;
Abstract

In order to looking for the fault of rock drilling hydraulic pump, the data of pressure and flow can be collected, from which wavelet analysis was used to find characters of the fault. So a new rock drilling pump fault diagnostic model by SVM was based on the energy value of the data deal with wavelet analysis. The results of regression show that the accuracy rate of SVM2 was higher than SVM1, and different core functions can get different regression accuracy from which RBF core function was better than others.

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-15.2015.332
ISSN
1951-6851
DOI
10.2991/amcce-15.2015.332How 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  - Jian-hua Liu
AU  - Wen-bin Ma
PY  - 2015/04
DA  - 2015/04
TI  - SVM and wavelet analysis method for hydraulic pump fault of rock drilling
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.332
DO  - 10.2991/amcce-15.2015.332
ID  - Liu2015/04
ER  -