Monitoring the Railways by Means of C-OTDR Technology

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.





References:
[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).