2021
DOI: 10.3390/app11094002
|View full text |Cite
|
Sign up to set email alerts
|

Railway Vehicle Wheel Flat Detection with Multiple Records Using Spectral Kurtosis Analysis

Abstract: The gradual deterioration of train wheels can increase the risk of failure and lead to a higher rate of track deterioration, resulting in less reliable railway systems with higher maintenance costs. Early detection of potential wheel damages allows railway infrastructure managers to control railway operators, leading to lower infrastructure maintenance costs. This study focuses on identifying the type of sensors that can be adopted in a wayside monitoring system for wheel flat detection, as well as their optim… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
31
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 43 publications
(33 citation statements)
references
References 49 publications
0
31
0
Order By: Relevance
“…Wear of the wheelset is an inevitable phenomenon due to the failure in maintaining acceptable conicity and avoiding collision between the wheel flange and rail [26][27][28][29]. Another recent study discusses early detection of wheel damage resulting in lower maintenance costs [30]. In this work, a wayside monitoring strategy is adopted for wheel flat detection using sensors with the emphasis on their optimal position of installation.…”
Section: Conicity Managementmentioning
confidence: 99%
“…Wear of the wheelset is an inevitable phenomenon due to the failure in maintaining acceptable conicity and avoiding collision between the wheel flange and rail [26][27][28][29]. Another recent study discusses early detection of wheel damage resulting in lower maintenance costs [30]. In this work, a wayside monitoring strategy is adopted for wheel flat detection using sensors with the emphasis on their optimal position of installation.…”
Section: Conicity Managementmentioning
confidence: 99%
“…To set up the equivalent rail/track defect, which corresponds to the wheel flat, the Haversine function may be used. This function is expressed in Equation (5). In this equation, z and x correspond respectively to the vertical and the longitudinal direction of the track.…”
Section: Wheel Flat Modelingmentioning
confidence: 99%
“…In order to analyze the influence of the depth of the wheel flat on the magnitude of the dynamic force on the track, wheel flats with depths from 0 to 2 mm at intervals of 0.5 mm were analyzed. The flat length l depends on the flat depth d as shown in Equation (5). For this calculations, a train speed of 360 km/h was considered, and the results are presented in Table 3.…”
Section: Ballasted Trackmentioning
confidence: 99%
See 1 more Smart Citation
“…One method is based on novel wavelet features to classify time series data by support vector machine (SVM); the other method trains the convolutional neural networks (CNN) for different defect types to predict if a wheel has a defect during regular operation. Mosleh et al [9] established a 3D numerical dynamic model of a vehicle-track coupling system and analyzed the sensitivity and reliability of different sensors and setups for wheel flat detection. In their method, the wheel flat was identified by the envelope spectrum approach with spectral kurtosis analysis by considering the evaluated shear and accelerations in 19 positions as inputs.…”
Section: Introductionmentioning
confidence: 99%