2010
DOI: 10.1016/j.ymssp.2009.06.007
|View full text |Cite
|
Sign up to set email alerts
|

Rail–wheel interaction monitoring using Acoustic Emission: A laboratory study of normal rolling signals with natural rail defects

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
23
0

Year Published

2012
2012
2019
2019

Publication Types

Select...
6
3

Relationship

0
9

Authors

Journals

citations
Cited by 51 publications
(24 citation statements)
references
References 27 publications
1
23
0
Order By: Relevance
“…19 In addition to the current paper, only Bruzelius and Mba 20 have assessed this application of AE, and they were only able to demonstrate that AE activity could be picked up in a laboratory rig. The current authors have already observed discrete AE associated with the wheel-sets on a real train 21 , and, in a series of laboratory studies, have developed a moving source model for a rolling wheel 22 and have shown that natural rail defects 23 and simulated wheel defects 24 can be detected using AE monitoring. This paper demonstrates that AE can be used to assess the rolling conditions with and without lateral rattling and flange rubbing, thus providing the potential for track-side monitoring of cumulative fatigue damage.…”
Section: Introductionmentioning
confidence: 94%
See 1 more Smart Citation
“…19 In addition to the current paper, only Bruzelius and Mba 20 have assessed this application of AE, and they were only able to demonstrate that AE activity could be picked up in a laboratory rig. The current authors have already observed discrete AE associated with the wheel-sets on a real train 21 , and, in a series of laboratory studies, have developed a moving source model for a rolling wheel 22 and have shown that natural rail defects 23 and simulated wheel defects 24 can be detected using AE monitoring. This paper demonstrates that AE can be used to assess the rolling conditions with and without lateral rattling and flange rubbing, thus providing the potential for track-side monitoring of cumulative fatigue damage.…”
Section: Introductionmentioning
confidence: 94%
“…There were also some natural defects in the same area between 1.46 and 1.58 m although their effect has already been assessed. 23 In order to correct for along-track attenuation and to identify areas of the track where the AE was above 'normal' a moving source model 22 for the AE energy in short time-step averaged RMS signals was applied. This consisted of fitting two attenuation curves to the data, one for the shorter section between joint and sensor and one for the longer one where E t is the energy at a clockwise distance, x 1 , or anticlockwise distance, x 2 , from the joint, R and T are the reflection and transmission coefficients at the joint, k is an exponential attenuation coefficient, and c 1 and c 2 are the clockwise and anticlockwise distances of the sensor from the joint.…”
Section: Wheel Flange Rubbingmentioning
confidence: 99%
“…Through experimental study, AE has been proven a feasible solution in defecting rail detection, especially in rotating machinery [68]. A simplified analytical model, which separates defects caused by AE activities from background noise, was proposed by Thakkar et al [48]. They also investigated the physical interaction between AE and axial load, speed, as well as traction through experiment.…”
Section: Acoustic Emission Testing (Aet)mentioning
confidence: 99%
“…However, only a limited number of AE tests on site have been conducted. The use of AE tests in railways has been carried out in laboratories as seen in the literature [81].…”
Section: Acoustic Emissionmentioning
confidence: 99%