Rail Condition Monitoring using Axle Box Acceleration Measurements: Defect detection in the Netherlands and Romania

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

58 Downloads (Pure)

Abstract

In this paper we discuss rail condition monitoring based on axle box acceleration (ABA) measurements. We present three case studies. The first one in The Netherlands, the detection of local defects with different severity levels (squat A, squat B and squat C) is analysed. The second case from the Faurei testing ring in Romania, the detection of rail defects over the whole testing ring is presented and examples of responses at a local defect (wheel-burn) is discussed with measurements at 80km/h (conventional speed measurement) and 200km/h (high speed measurement). In the third case, ABA measurements were obtained during operation in a train with passengers in the railway line near Brasov, Bartolomeu-Zărneşti. Examples of the defects and validations are discussed.
Original languageEnglish
Title of host publicationProceedings of the 2018 World Transport Convention
Subtitle of host publicationBeijing, China, June 18-21, 2018
EditorsZ. Fu, Z. Zhou, M. Walton
Number of pages8
Publication statusPublished - 2018
Event2018 World Transport Convention: Better transport better world - Beijing, China
Duration: 18 Jun 201821 Jun 2018
https://www.wtc-conference.com/?lang=en

Conference

Conference2018 World Transport Convention
Abbreviated titleWTC 2018
CountryChina
CityBeijing
Period18/06/1821/06/18
Internet address

Fingerprint Dive into the research topics of 'Rail Condition Monitoring using Axle Box Acceleration Measurements: Defect detection in the Netherlands and Romania'. Together they form a unique fingerprint.

Cite this