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Measurement-based Condition Monitoring of Railway Signaling Cables

Vijay, R and Prasad, G and Huo, Y and Sm, S and Tv, P (2021) Measurement-based Condition Monitoring of Railway Signaling Cables. In: 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2021, 25-28 Oct 2021, Aachen, pp. 33-38.

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Official URL: https://doi.org/10.1109/SmartGridComm51999.2021.96...


We propose a composite diagnostics solution for railway infrastructure monitoring. In particular, we address the issue of soft-fault detection in underground railway cables. We first demonstrate the feasibility of an orthogonal multitone time domain reflectometry based fault detection and location method for railway cabling infrastructure by implementing it using software defined radios. Our practical implementation, comprehensive measurement campaign, and our measurement results guide the design of our overall composite solution. With several diagnostics solutions available in the literature, our conglomerated method presents a technique to consolidate results from multiple diagnostics methods to provide an accurate assessment of underground cable health. We present a Bayesian framework based cable health index computation technique that indicates the extent of degradation that a cable is subject to at any stage during its lifespan. We present the performance results of our proposed solution using real-world measurements to demonstrate its effectiveness. © 2021 IEEE.

Item Type: Conference Paper
Publication: 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to Authors
Keywords: Condition monitoring; Fault detection; Internet of things; Railroad transportation; Software radio; Time domain analysis, Assets management; Cable fault; Cloud IoT; Faults detection; Impedance discontinuities; Impedance discontinuity localization; IoT platform; Localisation; Noninvasive; Online cable fault detection; Railway asset management; Remote monitoring, Railroads
Department/Centre: Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited: 13 Feb 2022 08:45
Last Modified: 13 Feb 2022 08:45
URI: http://eprints.iisc.ac.in/id/eprint/71371

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