An indirect method for rail corrugation measurement based on numerical models and wavelet packet decomposition

Liu, Xiaolong; Han, Junyu; Xu, Hanwen; Xiao, Xinbiao; Wen, Zefeng; Liang, Shulin

doi:10.1016/j.measurement.2022.110726

Cited by 22 publications

(7 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Wavelet packet decomposition (WPD) is performed on the data. 46 In the context of wavelet transform, it is difficult to continue decomposing the high-frequency part of ECG. Unlike the wavelet decomposition, WPD is effective not only in decomposing and reconstructing the low-frequency part, but also in decomposing the approximate component and detail component again to analyze the high-frequency part of the signal.…”

Section: Methodsmentioning

confidence: 99%

Sleep condition detection and assessment with optical fiber interferometer based on machine learning

Wang¹,

Lyu²,

Zhou³

et al. 2023

iScience

View full text Add to dashboard Cite

Section: Methodsmentioning

confidence: 99%

Sleep condition detection and assessment with optical fiber interferometer based on machine learning

Wang¹,

Lyu²,

Zhou³

et al. 2023

iScience

View full text Add to dashboard Cite

“…The smaller value of SE means that the result of WPD contains more information and is more suitable for the analyzed signal. 22 The SE can be expressed as equation (6).…”

Section: Signal Treat Methodsmentioning

confidence: 99%

Study on the influence of various factors on block vibration

Zhang

Yin

et al. 2023

International Journal of Engine Research

View full text Add to dashboard Cite

The influence of engine speed, torque, oil temperature, and piston liner clearance on the block vibration was studied with experimental test and wavelet packet decomposition method (WPD). The wavelet packet function of db10 and decomposition level of four was confirmed based on the Shannon entropy. The frequency analysis of the block vibration measured at motor-driven condition showed that the spectrum energy was mainly concentrated in the range of 4–5, 10–15, and 20–25 kHz. The energy of each frequency band obtained from WPD was contrasted at different engine speed, torque, oil temperature, and piston-liner clearance conditions. On this basis, the interaction between different factors was further investigated. The sensitive frequency band of block vibration was confirmed for different factors.

show abstract

“…Taking advantage of the high acoustic emissions associated with corrugations, some authors have investigated the possibility of using embedded microphones instead of accelerometers to detect corrugations. Liu et al [55] used sound pressure levels measured by a bogie-mounted microphone (Figure 8) to detect corrugation on metro lines. Based on experimentally validated models, the authors performed simulations of the wheel-rail noise for different corrugation levels and applied the Wavelet Packet Transform (WPT) to decompose the acoustic signal.…”

Section: Rail Condition-based Assessmentmentioning

confidence: 99%

Drive-by Methodologies Applied to Railway Infrastructure Subsystems: A Literature Review—Part II: Track and Vehicle

et al. 2023

View full text Add to dashboard Cite

Railways are one of the most important means of transportation, allowing people and goods to move quickly, environmentally beneficially, and efficiently over long distances. To ensure safe and reliable operations, regular condition-based assessments of trains and track are of paramount importance. Drive-by methodologies, which utilize data collected by onboard monitoring systems as the vehicle travels over the track, have gained popularity as an economically viable strategy for monitoring extensive track networks as well as vehicles traveling on them. This paper presents a critical review of these methodologies applied to railway tracks and vehicles. It assesses research on track irregularities, rail conditions, and the condition of rail supporting elements, highlighting important early developments and recent papers that provide insights into future practical applications. Additionally, the paper explores works related to global vehicle condition evaluation, focusing on the identification of suspension and wheelset element damage and also discussing challenges towards commercial application. The findings suggest that drive-by methodologies have several promising future applications. These include track maintenance optimization, proactive fault detection, predictive maintenance, track performance evaluation, vehicle health monitoring, and data-driven decision-making. By leveraging drive-by assessments, railway operators can optimize maintenance efforts, detect faults early, predict remaining component life, evaluate track performance, monitor vehicle health, and make informed decisions based on data analysis. Finally, a comprehensive conclusion summarizes the achievements thus far and provides perspectives for forthcoming developments. The future practical applications of drive-by methodologies discussed in this review have the potential to revolutionize railway track and vehicle assessments, leading to safer and more efficient railway operations in the days to come.

show abstract

An indirect method for rail corrugation measurement based on numerical models and wavelet packet decomposition

Cited by 22 publications

References 30 publications

Sleep condition detection and assessment with optical fiber interferometer based on machine learning

Sleep condition detection and assessment with optical fiber interferometer based on machine learning

Study on the influence of various factors on block vibration

Drive-by Methodologies Applied to Railway Infrastructure Subsystems: A Literature Review—Part II: Track and Vehicle

Contact Info

Product

Resources

About