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Detection and Localization of a Gear Fault Using Automatic Continuous Monitoring of the Modulation Functions Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Fatigue Crack Growth Monitoring Using Acoustic Emission: A Case Study on Railway Axles

Authors : R. Marks, A. Stancu, S. Soua

Published in: Advances in Condition Monitoring and Structural Health Monitoring

Publisher: Springer Singapore

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Abstract

Railway axles are safety-critical components, which are designed to be safe and reliable under standard operation. However, unexpected service conditions, impact events and issues missed in maintenance can affect their lifetime. Non-destructive testing (NDT) methods employed to assure structural integrity are expensive and disruptive requiring axles to be taken out of service for inspection. Therefore, there is need for more efficient, real-time monitoring approach. This paper presents an overview of key challenges facing successful in-service implementation of an acoustic emission (AE) condition monitoring system. This is followed by an experimental study of AE data captured during a mechanical test of a railway axle. The data is clustered using a self-organising map (SOM) to differentiate damage signals from other sources. The results presented show consistency with the crack growth measured using traditional NDT techniques.

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previous chapter A Study of Atmospheric Corrosive Environment in the North East Line Tunnel
next chapter Acoustic Emission Monitoring for Bending Failure of Laminated Glass Used on Glass Water Slide
Literature
1.
2.
Civity Management Consultants (prepared for the Office of Rail Regulation) European Benchmarking of the costs, performance and revenues of GB TOCs, 2012
3.
Hoddinott DS (2004) Railway axle failure investigations and fatigue crack growth monitoring of an axle. Proc Inst Mech Eng Part F: J Rail Rapid Transit 218(4):283–292CrossRef
4.
AxleInspect Consortium (2013) Axleinspect (development of novel inspection techniques for train axles). Final Report Summary. Cordis—EU research results
5.
6.
Castro I (2013) Development of novel inspection techniques for train axles. In: Internationla Wheelset Congress, Kiev
7.
Rudlin JR, Shipp R (2002) Review of techniques for rail axle inspection. Rail Safety and Standards (RSSB)
8.
Beretta S et al (2005) Fracture mechanics and scal effects in the fatigue of railway axles. Eng Fract Mech 72(2):195–208CrossRef
9.
Unnþórsson R (2013) Hit detection and determination in AE bursts. In: Acoustic emission-research and applications. IntechOpen
10.
Bhuiyan MY et al (2018) Toward identifying crack-length related resonances in acoustic emission waveforms for structural health monitoring applications. Struct Health Monit 17(3):577–585CrossRef
11.
Crivelli D et al (2018) Gear tooth fatigue test monitoring with continuous acoustic emission: advanced signal processing techniques for detection of incipient failure. Struct Health Monit 17(3):423–433CrossRef
12.
Bruni S et al. A preliminary analysis about the application of acoustic emission and low frequency vibration methods to the structural health monitoring of railway axles. In: Chemical engineering
13.
Carboni M et al (2013) A study on the performance of acoustic emission and low frequency vibration methods to the real-time condition monitoring of railway axles. In: Proceedings of the 12th International conference of the Slovenian Society for non-destructive testing, pp 559–566
14.
Carboni M, Gianneo A (2017) Feasibility of an Acoustic emission based structural health monitoring for railway axle under fretting fatigue damage. In: 14th International conference of the Slovenian society for non-destructive testing, pp 65–72
15.
Zhou Y et al (2018) A new method to classify railway vehicle axle fatigue crack AE signal. Appl Acoust 1(131):174–185CrossRef
16.
Kohonen T (2013) Essentials of the self-organising map. Neural Netw 1(37):52–56CrossRef
17.
SOMPy by V Moodavi, S Packman and I Vallés 4th March 2019
18.
Crivelli D, Guagliano M, Monici A (2014) Development of an artificial neural network processing technique for the analysis of damage evolution in pultruded composites with acoustic emission. Compos B Eng 1(56):948–959CrossRef
Metadata
Title
Fatigue Crack Growth Monitoring Using Acoustic Emission: A Case Study on Railway Axles
Authors
R. Marks
A. Stancu
S. Soua
Copyright Year
2021
Publisher
Springer Singapore
Book
Advances in Condition Monitoring and Structural Health Monitoring

Print ISBN: 978-981-15-9198-3

Electronic ISBN: 978-981-15-9199-0

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-9199-0_52

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