Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)

Leakage Detection in Pipelines Using Decision Tree and Multi-Support Vector Machine

Authors
Zhigang Chen, Xu Xu, Xiaolei Du, Junling Zhang, Miao Yu
Corresponding Author
Zhigang Chen
Available Online December 2017.
DOI
https://doi.org/10.2991/ecae-17.2018.71How to use a DOI?
Keywords
leakage detection; decision tree; support vector machine; binary classification
Abstract

In order to solve the problem of leakage detection in the case of complex conditions and limited training samples, a multivariate classification recognition model was built by using Decision Tree and Support Vector Machine, which has advantages of rapid speed and high efficiency in classification and outstanding characteristics in small samples binary classification. The model was trained with a fault feature vector which is a dimensionless value extracted from the pipeline pressure signal characteristic parameters, and then using the model to test the samples. The results show that this method not only can complete the model learning training in the case of small samples, but also has been greatly improved over the neural network method in terms of the recognition performance, and can be effectively applied to leakage detection in pipelines.

Copyright
© 2018, 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 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
Series
Advances in Engineering Research
Publication Date
December 2017
ISBN
978-94-6252-458-3
ISSN
2352-5401
DOI
https://doi.org/10.2991/ecae-17.2018.71How to use a DOI?
Copyright
© 2018, 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  - Zhigang Chen
AU  - Xu Xu
AU  - Xiaolei Du
AU  - Junling Zhang
AU  - Miao Yu
PY  - 2017/12
DA  - 2017/12
TI  - Leakage Detection in Pipelines Using Decision Tree and Multi-Support Vector Machine
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
PB  - Atlantis Press
SP  - 327
EP  - 331
SN  - 2352-5401
UR  - https://doi.org/10.2991/ecae-17.2018.71
DO  - https://doi.org/10.2991/ecae-17.2018.71
ID  - Chen2017/12
ER  -