Abstract

In order to reduce the influence of the transmission dispersion characteristics on the wave head detection and the wave transmission velocity measurement, put forward a new algorithm. This method combined with wavelet transform singularity and similarity algorithm, extracted the reconstruction high-frequency signal of wavelet function multi-scale decomposing structure, to calculate fault traveling-wave positioning. Got characteristic value point, calculated arrival time of traveling-wave head, obtained the reference speed of traveling-wave by simulation experiment results. Analysis result of the field test data showed that the high-speed railway traction nets fault positioning method can extract the faults characteristic effectively, and eliminate the influence of traveling-wave dispersion characteristic, and the fault positioning error is no more than 100 m.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.