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Authors: Qian Sun ; Hao Feng ; Jian Li and Shijiu Jin

Affiliation: Tianjin University, China

Keyword(s): Pipeline Safety, Recognition, Feature Extraction, Wavelet Energy Spectrum, Support Vector Machine.

Related Ontology Subjects/Areas/Topics: Fiber Optics ; Optics ; Photonics, Optics and Laser Technology

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.

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Paper citation in several formats:
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 - PHOTOPTICS, ISBN 978-989-8565-44-0; ISSN 2184-4364, pages 73-77. DOI: 10.5220/0004277300730077

@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 - PHOTOPTICS,},
year={2013},
pages={73-77},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004277300730077},
isbn={978-989-8565-44-0},
issn={2184-4364},
}

TY - CONF

JO - Proceedings of the International Conference on Photonics, Optics and Laser Technology - PHOTOPTICS,
TI - Recognition of Pipeline Safety Events Applied to Optical Fiber Pre-warning System
SN - 978-989-8565-44-0
IS - 2184-4364
AU - Sun, Q.
AU - Feng, H.
AU - Li, J.
AU - Jin, S.
PY - 2013
SP - 73
EP - 77
DO - 10.5220/0004277300730077