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A study on the performance of acoustic emission and low frequency vibration methods to the real-time condition monitoring of railway axles

Carboni, Michele, Bruni, Stefano, Crivelli, Davide ORCID: https://orcid.org/0000-0002-1573-5726, Guagliano, Mario and Rolek, Pawel 2013. A study on the performance of acoustic emission and low frequency vibration methods to the real-time condition monitoring of railway axles. Presented at: 12th International Conference of the Slovenian Society for Non-Destructive Testing: Application of Contemporary Non-Destructive Testing in Engineering, ICNDT 2013, Portorož, Slovenia, 4-6 September 2013. The 12th International Conference of the Slovenian Society for Non-Destructive Testing. Ljubljana: Slovenian Society for Non-Destructive Testing, pp. 559-566.

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Abstract

Railway axles are safety-critical components whose failure could result in large additional costs for the infrastructure manager and the railway operator and, in most serious cases, even lead to unacceptable human losses. For this reason, they are periodically inspected by means of nondestructive techniques usually requiring expensive service interruptions. Considering the special case of solid axles for freight cars, this paper investigates the feasibility to apply two structural health monitoring techniques to increase vehicle safety and reliability and, at the same time, to decrease the cost of damage inspection. In particular, the considered structural health monitoring techniques are Acoustic Emission and the measurement of low frequency vibrations. In the present paper, a study about the application of both these techniques to freight railway axles is introduced and discussed.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Publisher: Slovenian Society for Non-Destructive Testing
ISBN: 9789619353707
Last Modified: 31 Oct 2022 09:19
URI: https://orca.cardiff.ac.uk/id/eprint/80560

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