2017
DOI: 10.1177/1350650117730491
|View full text |Cite
|
Sign up to set email alerts
|

Experimental study on the vibration characteristic responses on the surface damage of wheel materials

Abstract: The objective of the study was to explore the vibration signal responses on the surface damage of wheel materials using a JD-1 wheel–rail simulation facility. Vibration signals were extracted using the methods of local mean decomposition and Hilbert envelope spectrum. The surface damage of wheel rollers varies with different tangential forces. The results indicate that the surface damage of wheel materials has a corresponding characteristic frequency under different tangential forces conditions. When surface c… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 31 publications
0
2
0
Order By: Relevance
“…The proposed model was applied to non-Gaussian and Bi-Gaussian surfaces, and found that surface topography has strong influence on the AE RMS values. Vibration signals correlate with the surface damages of wheel/rail contacts [250]. When surface cracks appear on the surface of wheel rollers, the characteristic frequency of wheel roller is about 1,830 Hz, while the characteristic frequencies are about 800 and 73 Hz for peeling and spalling damages on wheel roller.…”
Section: Wear Monitoring and Debris Analysismentioning
confidence: 98%
“…The proposed model was applied to non-Gaussian and Bi-Gaussian surfaces, and found that surface topography has strong influence on the AE RMS values. Vibration signals correlate with the surface damages of wheel/rail contacts [250]. When surface cracks appear on the surface of wheel rollers, the characteristic frequency of wheel roller is about 1,830 Hz, while the characteristic frequencies are about 800 and 73 Hz for peeling and spalling damages on wheel roller.…”
Section: Wear Monitoring and Debris Analysismentioning
confidence: 98%
“…Local average decomposition and Hilbert envelope spectroscopy were also used for vibration signal analysis and the multifractal dimension was proposed to identify the cracks, spalling, and pitting of wear surfaces. 18 In another research, an indicator of vibration cyclostationarity was developed to identify gear fatigue pitting and abrasive wear. 19 Based on the chaotic theory, the chaotic attractors were extracted from the friction-induced vibration signal to describe the running-in, normal, and severe wear stages during point-to-surface reciprocating sliding.…”
Section: Introductionmentioning
confidence: 99%