research-article

Acoustic emission source localization method for high-speed train bogie

Authors:

Qiufeng LiAuthors Info & Claims

Multimedia Tools and Applications, Volume 79, Issue 21-22

Pages 14933 - 14949

https://doi.org/10.1007/s11042-019-08580-3

Published: 01 June 2020 Publication History

Abstract

Bogie is one of the most critical parts of high-speed train and is directly related to the operation quality and safety of the train. However, currently no dynamic non-destructive testing method exists for real-time monitoring. Therefore, this paper proposes a new damage localization method for high-speed train bogie dynamic testing. The acoustic emission testing technology is applied to test the vulnerable welding parts of the bogie with time reversal localization method. Firstly, the bogie welding parts structure model based on finite element software is established. Then an acoustic emission damage signal is sent from the model and the acoustic emission source signal is received by the preset acoustic emission sensor. And the accurate localization of damage is achieved by dealing with the received signal according to the time reversal focusing principle and imaging the acoustic emission source. The simulation experiments show that the proposed method can accurately find the damaged localization. And finally, the method has been verified through experiment, and the results show it can effectively improve signal energy of the damage source, and the position of the damage source can be shown accurately through signal reconstruction and localization in the detection area.

References

[1]

Fanyong M Analysis of machining process for bogie frame of EMU Mech Res Appl 2012 3 96-97

[2]

Niccolini G, Carpinteri A, and Lacidogna G Acoustic emission monitoring of the Syracuse Athena temple: scale invariance in the timing of ruptures Phys Rev Lett 2011 106 10 108503

[3]

Fotouhi M, Saeedifar M, and Sadeghi S Investigation of the damage mechanisms for mode I delamination growth in foam core sandwich composites using acoustic emission Struct Health Monit 2015 14 3 265-280

[4]

Hu Y, Wang L, and Huang X On-line sizing of pneumatically conveyed particles through acoustic emission detection and signal analysis IEEE Trans Instrum Meas 2015 64 5 1100-1109

[5]

Li D, Chen Z, and Feng QDamage analysis of CFRP-confined circular concrete-filled steel tubular columns by acoustic emission techniquesSmart Mater Struct20152483349140

[6]

Siracusano G, Lamonaca F, and Tomasello R A framework for the damage evaluation of acoustic emission signals through Hilbert-Huang transform Mech Syst Signal Process 2016 75 15 109-122

[7]

Rabiei M and Modarres M Quantitative methods for structural health management using in situ acoustic emission monitoring Int J Fatigue 2013 49 81-89

[8]

Silversides I, Maslouhi A, and LaPlante G Acoustic emission monitoring of interlaminar delamination onset in carbon fibre composites Struct Health Monit 2013 12 2 126-140

[9]

Torres-Arredondo MA, Tibaduiza DA, and McGugan M Multivariate data-driven modelling and pattern recognition for damage detection and identification for acoustic emission and acousto-ultrasonics Smart Mater Struct 2013 22 10 105023

[10]

Builo SI, Ivanochkin PG, and Myasnikova NA Diagnostics of critical points of the friction coefficient of a multilayer nanomodified antifriction coating by an acoustic emission technique Russ J Nondestruct Test 2013 49 6 318-322

[11]

Jomdecha C Study on source location using an acoustic emission system for various corrosion types NDT&E Int 2007 40 8 584-593

[12]

Lu H, Li Y, Uemura T, Kim H, and Serikawa S Low illumination underwater light field images reconstruction using deep convolutional neural networks Futur Gener Comput Syst 2018 82 142-148

[13]

Boris AZ, Adrian P, Sepand M, and Obdulia L Structural health monitoring of liquid-filled tanks: a Bayesian approach for location of acoustic emission sources Smart Mater Struct 2015 24 1

[14]

Ozevin D Geometry-based spatial acoustic source location for spaced structures Struct Health Monit 2011 10 5 503-510

[15]

Mostafapour A, Davoodi S, and Ghareaghaji M Acoustic emission source location in plates using wavelet analysis and cross time frequency spectrum Ultrasonics 2014 54 8 2055-2062

[16]

Dehghan NE, Farhidzadeh A, and Salamone S Nonlinear Kalman filtering for acoustic emission source localization in anisotropic panels Ultrasonics 2013 54 2 486-501

[17]

Lu H, Li Y, Uemura T, Ge Z, Xu X, He L, Serikawa S, and Kim H FDCNet: filtering deep convolutional network for marine organism classification Multimed Tools Appl 2017 77 17 21847-21860

[18]

Xiaopeng Y, Linhui P, and Shuangle G The time reversal signal temporal focus of rough seafloor wave guide Period Ocean Univ China 2012 42 7 178-182

[19]

Xu S, Liu J, and Xu SExperimental studies on pillar failure characteristics based on acoustic emission location techniqueTrans Nonferrous Metals Soc China201222112792-27982911793

[20]

Hensman J, Mills R, and Pierce SG Locating acoustic emission sources in complex structures using Gaussian processes Mech Syst Signal Process 2010 24 1 211-223

[21]

Ramin M, Paul Z, and Juan MC Acoustic emission Bayesian source location: onset time challenge Mech Syst Signal Process 2019 123 15 483-495

[22]

Mathias F Time reversal of ultrasonic field--part I: basic principles IEEE Trans Ultrason Ferroelectr Freq Control 1992 39 5 555-566

[23]

Wu F, Thomas JL, and Mathias F Time reversal of ultrasonic fields-part II: experimental results. IEEE trans. Ultrason. Ferroelect, Freq Contr. 1992 39 5 567-578

[24]

Wang CH, Rose JT, and Chang FK A synthetic time reversal imaging method for structural health monitoring Smart Mater Struct 2004 13 2 415-423

[25]

Fink M Time reversal of ultrasonic fields part I: basic principles IEEE Trans Ultrason Ferroelectr Freq Control 1999 39 5 555-566

[26]

Qiu L, Yuan S, and Yang W On research of time reversal imaging method and structural health monitoring system Int J Appl Electromagn Mech 2014 46 4 927-941

[27]

Chun HW, James TR, and Fu-Kuo C A synthetic time reversal imaging method for structural health monitoring Smart Mater Struct 2004 13 2 415-423

[28]

Li Q, Chen J, and He C Location algorithm for source of acoustic emission based on time reversal Chin J Sens Actuators 2015 28 11 1659-1663

[29]

Gutkin R, Green CJ, and Vangrattanachai S On acoustic emission for failure investigation in CFRP: pattern recognition and peak frequency analyses Mech Syst Signal Process 2011 25 4 1393-1407

[30]

Li X, Luo G, and Long S Location method of acoustic emission by time reversal focusing and enhancing for steel plate Chin J Sci Instrum 2016 37 8 1792-1799

[31]

Yao C, Boyuan C, and Xia W Air-coupled lamb waves imaging for impact damage of CFRP plates based on the time reversal damage index Fail Anal Prev 2019 14 1 1-7

[32]

Lu H, Li Y, Mu S, Wang D, Kim H, and Serikawa S Motor anomaly detection for unmanned aerial vehicles using reinforcement learning IEEE Internet Things J 2018 5 4 2315-2322

[33]

Cong H, Qiong W, and Qiufeng L Application of time reversal on acoustic emission source localization of train bogie China Meas Test 2016 42 12 136-139

Cited By

Wang ZWang HDong DSheng JLi QJiang L(2021)Comparison of Concrete Detection Results with Different Ultrasonic Excitation SignalsProceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering10.1145/3501409.3501518(596-601)Online publication date: 22-Oct-2021
https://dl.acm.org/doi/10.1145/3501409.3501518
Wang ZWang HDong DSheng JLi QJiang L(2021)Ultrasonic measuring method for spraying thickness of protective coating on steel structureProceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering10.1145/3501409.3501453(238-243)Online publication date: 22-Oct-2021
https://dl.acm.org/doi/10.1145/3501409.3501453

Index Terms

Acoustic emission source localization method for high-speed train bogie

Index terms have been assigned to the content through auto-classification.

Recommendations

An Adaptive Multisensor Fault Diagnosis Method for High-Speed Train Bogie
High-speed train bogies are the critical components of high-speed trains, which can play the role of traction, braking, and buffering. In long-term train service, bogies are prone to wear and aging. Currently, most studies on fault diagnosis methods are ...
Research progress of acoustic emission detection technology based on modal theory

The essence of modal acoustic emission theory is to study acoustic emission waves using Lamb wave theory. Different from the traditional acoustic emission research, the modal acoustic emission analyzes the entire waveform of the signal received by ...
Emergency Train Scheduling on Chinese High-Speed Railways

China has recently developed a large-scale high-speed railway HSR network that not only revolutionizes the perception of long-haul transport but also fundamentally improves the emergency response capability of the country. This gives rise to a problem ...

Comments

Information & Contributors

Information

Published In

cover image Multimedia Tools and Applications

Multimedia Tools and Applications Volume 79, Issue 21-22

Jun 2020

1437 pages

ISSN:1380-7501

Issue’s Table of Contents

© Springer Science+Business Media, LLC, part of Springer Nature 2020.

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 June 2020

Accepted: 11 December 2019

Revision received: 11 November 2019

Received: 06 June 2019

Author Tags

Qualifiers

Research-article

Funding Sources

National Natural Science Foundation of China
Special Plan for the Construction of Superiority Scientific and Technological Innovation Teams in Jiangxi Province
Natural Science Foundation of Jiangxi Province
Science and Technology Project of Jiangxi Education Department
Science and Technology Planning Project of Jiangxi Quality Supervision Bureau
Nanchang Hangkong University Graduate Innovation Special Fund

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 06 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Wang ZWang HDong DSheng JLi QJiang L(2021)Comparison of Concrete Detection Results with Different Ultrasonic Excitation SignalsProceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering10.1145/3501409.3501518(596-601)Online publication date: 22-Oct-2021
https://dl.acm.org/doi/10.1145/3501409.3501518
Wang ZWang HDong DSheng JLi QJiang L(2021)Ultrasonic measuring method for spraying thickness of protective coating on steel structureProceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering10.1145/3501409.3501453(238-243)Online publication date: 22-Oct-2021
https://dl.acm.org/doi/10.1145/3501409.3501453

View Options

View options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Media

Figures

Other

Tables

View Issue’s Table of Contents