A GPR signal processing procedure for detecting rail ballast conditions by an entropy-based approach

Benedetto, Francesco, Tosti, Fabio ORCID: https://orcid.org/0000-0003-0291-9937 and Alani, Amir (2018) A GPR signal processing procedure for detecting rail ballast conditions by an entropy-based approach. In: 2nd Italian Workshop on Radar and Remote Sensing 2018, 28-29 May 2018, Pavia, Italy. (Unpublished)

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Ballasted railroads are among the most common construction types in railway engineering due to the effective drainage capability and load-bearing capacity achieved at relatively low construction costs. Rail ballast is usually made of uniformly-graded coarse aggregates derived from crushed rocks of differing geological nature, mostly granite, basalt and limestone. According to Selig and Waters [1], several categories can be identified as principal source mechanisms of fouling, namely, the breakdown of ballast, the infiltration from ballast surface (downward migration of coal dust from commercial trains) and the upward migration of clay fines from the subgrade, are the major causes of fouling. Notwithstanding the increased costs of maintenance, fouling occurrence may dramatically impact on the safety and operation of railways [2]. In view of this, effective health monitoring and early-stage detection of fouling is mandatory to allow significant reduction of both unsafe events and maintenance costs. Within this context, non-destructive testing (NDT) techniques are becoming more important in the health monitoring of railways.

Item Type: Conference or Workshop Item (Paper)
Keywords: GPR, signal processing, railway ballast, entropy
Subjects: Construction and engineering > Civil and environmental engineering
Construction and engineering > Digital signal processing
Construction and engineering > Electrical and electronic engineering
Construction and engineering > Civil and structural engineering
Construction and engineering
Related URLs:
Depositing User: Fabio Tosti
Date Deposited: 15 Jun 2018 12:02
Last Modified: 28 Aug 2021 07:26
URI: https://repository.uwl.ac.uk/id/eprint/5183


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