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Monitoring the Railways by Means of C-OTDR Technology
Authors: Andrey V. Timofeev
Abstract:
This paper presents development results of the method of seismoacoustic activity monitoring based on usage vibrosensitive properties of optical fibers. Analysis of Rayleigh backscattering radiation parameters changes, which take place due to microscopic seismoacoustic impacts on the optical fiber, allows to determine seismoacoustic emission sources positions and to identify their types. Results of using this approach are successful for complex monitoring of railways.
Keywords: C-OTDR systems, monitoring of railways, Rayleigh backscattering.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1100523
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[1] Chang Huai You, Kong Aik Lee, Haizhou Li, A GMM supervector Kernel with the Bhattacharyya distance for SVM based speaker recognition, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing: 4221-4224 (2009).
[2] Hearst M.A, Dumais S.T., Osman E., Platt J., and Scholkopf B. Support Vector Machines, IEEE Intelligent Systems, vol. 13(4):18-28 (1998).
[3] Kailath T. The Divergence and Bhattacharyya Distance Measures in Signal Selection, IEEE Transactions on Communication Technology 15 (1):52-60 (1967).
[4] Timofeev A.V., The guaranteed estimation of the Lipschitz classifier accuracy: Confidence set approach. Journal Korean Stat. Soc. 41(1).P.105-114 (2012).
[5] Timofeev A.V., Egorov D.V., Multichannel classification of target signals by means of an SVM ensemble in C-OTDR systems for remote monitoring of extended objects, MVML-2014 Conference Proceedings V.1, Prague, (2014).
[6] Timofeev A.V. The guaranteed detection of the seismoacoustic emission source in the C- OTDR systems, ICDSP 2014: International Conference on Digital Signal Processing Conference Proceedings, Barcelona, (2014).