Carriage interior noise-based inspection for rail corrugation on high-speed railway track

Wei, Zilong; Sun, Xianfu; Yang, Fei; Ke, Zaitian; Lü, Tao; Zhang, Pan; Shen, C. S.

doi:10.1016/j.apacoust.2022.108881

Cited by 14 publications

(5 citation statements)

References 34 publications

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“…For I8-I9, for the chosen defining factor at the established alpha confidence level, the p value reliability came out to be (0.0374). Since the p value of the pair < p value determined, it can be evaluated as reliable; i.e., we assume that dependence occurs in this pair [14][15][16].…”

Section: H3mentioning

confidence: 99%

Modernization of Railway Wagons for Customer Satisfaction and Safety

Nedeliaková,

Valla,

Masár

2024

Vehicles

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This article focuses on the assessment of the efficiency of the modernization of railway wagons intended for passenger transport. The modernization of railway wagons is an important step towards ensuring the safer and more efficient operation of railways. However, this modernization is not without risks and, in addition to its many positive effects, it can also bring new challenges in the form of breakdowns and technical problems. Failures in passenger rail vehicles are a challenge facing manufacturers and transport operators, and identifying the relationships between these failures can help to improve the design, manufacture, and maintenance of these vehicles. Passenger rail vehicle failures can vary in nature, whether mechanical, electrical, or inside the vehicle. This paper attempts to provide a comprehensive view of the effectiveness of passenger rail car retrofitting based on the data collected and statistical analyses. The article further focuses on the description of selected rail passenger wagons, describes the analyses of the statistical data using the correlation between the selected rail wagon failures and their significance, in addition to whether the impact of modernization reduces the number of rail wagon failures. The results of this statistical analysis can be used to better understand the impact of modernization on different aspects of passenger transport and will help in making future investment and policy decisions in this area. © 2017 Elsevier Inc. All rights reserved.

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Section: H3mentioning

confidence: 99%

Modernization of Railway Wagons for Customer Satisfaction and Safety

Nedeliaková,

Valla,

Masár

2024

Vehicles

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“…The model was validated based on field tests, and the predicted amplitudes were compared with measured ones, resulting in an amplitude relative error of 10.5%. Wei et al [56] demonstrated that it is also feasible to detect corrugations from noise measured inside the car body of a high-speed train. Based on experimental investigations, it was concluded that corrugations are usually correlated with noise frequencies between 400 and 700 Hz.…”

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

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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.

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“…The collected axle-box acceleration data was processed using empirical mode decomposition and ensemble empirical mode decomposition, which proved effective in accurately detecting rail surface defects. Moreover, measurements of axle-box acceleration, carriage interior vibration, and noise were conducted in [6]. It shows when a high-speed train runs on different rail corrugation curve sections, the interior vibration coincides with axle-box acceleration by rail corrugation and demonstrates the carriage interior noise capability in identifying the rail corrugation.…”

Section: Introductionmentioning

confidence: 97%

“…To enhance inspection efficiency and capture the interaction among the wheel, train speed, and rail corrugation, onboard measurements have been implemented for detecting rail corrugation. These measurements include methods like carriage interior noise analysis [5,6], computer vision techniques [7], laser triangulation [8], laser displacement measurement [9], and the notably prevalent approach of utilizing acceleration measurements [6,[10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Rail Corrugation Index Development by Sound-Field Excitation on the Carriage Floor of In-Service Train

Hsu,

Chang

2023

Sensors

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The steel rail and wheel in the railway system offer a high precision and smooth-running surface. Nevertheless, the point of contact between the rail and wheel presents a critical area that can give rise to rail corrugation. This phenomenon can potentially elevate sound and vibration levels in the vicinity considerably, necessitating advanced monitoring and assessment measures. Recently, many efforts have been directed towards utilizing in-service trains for evaluating rail corrugation, and the evaluation has primarily relied on axle-box acceleration (ABA). However, the ABA measurements require a higher threshold for vibration detection. This study introduces a novel approach to rail corrugation detection by carriage floor acceleration (CFA), aimed at lowering the detection threshold. The method capitalizes on the acceleration data sensed on the carriage floor, which is induced by the sound pressure (e.g., sound-field excitation) generated at the wheel–rail contact point. An exploration of the correlation between these datasets is undertaken by simultaneously measuring both ABA and CFA. Moreover, a pivotal aspect of this research is the development of the eigenfrequency rail corrugation index (E-RCI), a mechanism that culminates energy around specific eigenfrequencies by CFA. Through this index, a focused analysis of rail corrugation patterns is facilitated. The study further delves into the stability, repeatability, and sensitivity of the E-RCI via varied measurement scenarios. Ultimately, the CFA-based rail corrugation identification is verified, establishing its practical applicability and offering a distinct approach to detecting and characterizing rail corrugation phenomena. This study has introduced an innovative methodology for rail corrugation detection using CFA, with the principal objective of lowering the detection threshold. This approach offers an efficient measurement technique for identifying rail corrugation areas, thereby potentially reducing maintenance costs and enhancing efficiency within the railway industry.

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Carriage interior noise-based inspection for rail corrugation on high-speed railway track

Cited by 14 publications

References 34 publications

Modernization of Railway Wagons for Customer Satisfaction and Safety

Modernization of Railway Wagons for Customer Satisfaction and Safety

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

Rail Corrugation Index Development by Sound-Field Excitation on the Carriage Floor of In-Service Train

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