Recognition of Pipeline Safety Events Applied to Optical Fiber Pre-warning System

Qian Sun, Hao Feng, Jian Li, Shijiu Jin

Abstract

Recognition of pipeline safety events is a key problem in the research of the optical fiber pre-warning system. In this paper a feature extraction method combined with wavelet energy spectrum (WES) and wavelet information entropy (WIE) is proposed. In order to avoid kernel function being dominated by trivial relevant or irrelevant features, a support vector machine (SVM) approach is also put forward based on the feature weighting, i.e. Feature Weighted SVM (FWSVM). The experiment shows that the method proposed in this paper is effective for recognition of the pipeline safety events and can be applied in optical fiber pre-warning system.

References

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Paper Citation


in Harvard Style

Sun Q., Feng H., Li J. and Jin S. (2013). Recognition of Pipeline Safety Events Applied to Optical Fiber Pre-warning System . In Proceedings of the International Conference on Photonics, Optics and Laser Technology - Volume 1: PHOTOPTICS, ISBN 978-989-8565-44-0, pages 73-77. DOI: 10.5220/0004277300730077


in Bibtex Style

@conference{photoptics13,
author={Qian Sun and Hao Feng and Jian Li and Shijiu Jin},
title={Recognition of Pipeline Safety Events Applied to Optical Fiber Pre-warning System },
booktitle={Proceedings of the International Conference on Photonics, Optics and Laser Technology - Volume 1: PHOTOPTICS,},
year={2013},
pages={73-77},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004277300730077},
isbn={978-989-8565-44-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Photonics, Optics and Laser Technology - Volume 1: PHOTOPTICS,
TI - Recognition of Pipeline Safety Events Applied to Optical Fiber Pre-warning System
SN - 978-989-8565-44-0
AU - Sun Q.
AU - Feng H.
AU - Li J.
AU - Jin S.
PY - 2013
SP - 73
EP - 77
DO - 10.5220/0004277300730077