Analysis of the evolvement of contact wire wear irregularity in railway catenary based on historical data

Wang, Hongrui; Núñez, Alfredo; Liu, Zhigang; Song, Ye‐Qiong; Duan, Fuchuan; Dollevoet, Rolf

doi:10.1080/00423114.2017.1408919

Cited by 30 publications

(23 citation statements)

References 28 publications

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“…Considering realistic disturbances to the catenary, the wind load [9], aerodynamic instability [10] and vehicle-track perturbation [11] are included in the numerical models to evaluate their effects on the pantograph-catenary interaction. To reproduce the realistic defects of catenary, the contact wire irregularities [12], [13], dropper defect [14] and wear [15] are included in the assessment of current collection quality. To ensure the accuracy of simulation results, the measurement data from field tests are utilised to modify [16] and validate [17], [18] the numerical models.…”

Section: B Literature Reviewmentioning

confidence: 99%

“…But an overlarge value may cause mathematical problems, and cannot lead to accurate results. Normally the contact stiffness is selected within 50000-200000 N/m, which ensures that appropriate results can be obtained at 0-20 Hz [15]. In this section, a sensitivity analysis is conducted to reveal the effect of contact stiffness on the contact force within different frequency ranges of interest.…”

Section: B Contact Stiffnessmentioning

confidence: 99%

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Assessment of the High-Frequency Response in Railway Pantograph-Catenary Interaction Based on Numerical Simulation

Song

Rönnquist

Nåvik

2020

IEEE Trans. Veh. Technol.

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The numerical model is a well-acknowledged tool to evaluate railway pantograph-catenary interaction performance. The current standard restricts most current simulation tools by a cutoff frequency of 20 Hz. This low-frequency range of interest cannot fully describe the current collection quality of pantographcatenary. This paper includes simulation with cutoff frequencies up to 200 Hz to investigate the high-frequency behaviour of pantograph-catenary interaction. The reference model of pantograph-catenary in the benchmark is taken as the analysis object. Firstly, the effect of key simulation parameters of the resulting contact force is investigated. A small element length in the finite element model is proposed to prevent the frequency range of interest being contaminated by the numerical error. The contact stiffness has an opposite effect on the contact force in low and high-frequency ranges. Then the source and the amplification factor of high-frequency components of contact force are investigated. The results show that the half and quarter of the dropper/steady arm interval length presents the primary source of high-frequency components of the contact force. The corresponding wavelength can also be found in the high-order modes of the catenary. Finally, a variable time step procedure is also proposed to capture the contact loss occurring at high frequencies accurately. The comparison of the results between the variable and constant time steps indicates that the traditional constant time step may result in errors when calculating the contact loss duration.

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Section: B Literature Reviewmentioning

confidence: 99%

Section: B Contact Stiffnessmentioning

confidence: 99%

Assessment of the High-Frequency Response in Railway Pantograph-Catenary Interaction Based on Numerical Simulation

Song

Rönnquist

Nåvik

2020

IEEE Trans. Veh. Technol.

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“…Currently, monitoring railway components is conducted using different technologies and methods [3,4]. Among all Wenqiang Liu is with the School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China (e-mail: Liuwq_2009@126.com).…”

Section: Introductionmentioning

confidence: 99%

Virtual Reality and Convolutional Neural Networks for Railway Catenary Support Components Monitoring

Liu

Núñez

2019

2019 IEEE Intelligent Transportation Systems Conference (ITSC)

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The development of algorithms for detecting failures in railway catenary support components has, among others, one major challenge: data about healthy components are much more abundant than data about defective components. In this paper, virtual reality technology is employed to control the learning environment of convolutional neural networks (CNNs) for the automatic multicamera-based monitoring of catenary support components. First, 3D image data based on drawings and real-life video images are developed. Then, a virtual reality environment for monitoring the catenary support system is created, emulating real-life conditions such as measurement noise and a multicamera train simulation to resemble state-of-the-art monitoring systems. Then, CNNs are used to extract and fuse the features of multicamera images. Experiments are conducted for monitoring the cantilever support connection, both down (CSC-D) and up (CSC-U), and registration arm support connection, both down (RASC-D) and up (RASC-U). Experimental results show that the CNNs trained in the virtual reality environment can capture the most relevant spatial information of the catenary support components. Multicamera image detection based on CNNs detects screw loss for all four components. For CSC-D and RASC-U, normal and pin-loss images are also fully detected. A challenge remains in increasing the pin-loss detection for both CSC-U and RASC-D.

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“…The contact force should be kept steady to ensure good contact. An inadequate contact force may increase the occurrence of arcing [13], sparking and contact loss [14], while an excessive contact force may increase the wear of the strip [15] and the contact line [16]. Normally the mean value, the standard deviation, the maximum and minimum values of contact forces are used to evaluate the contact quality of the pantograph-OCL [17].…”

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confidence: 99%

Dynamic Performance of High-Speed Railway Overhead Contact Line Interacting With Pantograph Considering Local Dropper Defect

Song

Liu

2020

IEEE Trans. Veh. Technol.

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The local dropper defect is the most common fault in the early service stage of the overhead contact line (OCL) system. The plastic deformation and loose of a dropper may cause the variation of the contact line height, which has a direct effect on the contact performance of the pantograph-OCL system. This paper proposes a methodology to model the OCL with local dropper defect using a nonlinear finite element approach. Employing a developed TCUD (Target Configuration under Dead Load) method, which takes the vertical defective dropper position in the contact line as additional constraints, the local dropper defect is exactly added in the initial configuration of the OCL model. Several simulations of pantograph-OCL interaction are run with different positions of the defective dropper. The effect of local dropper defect on the pantograph-OCL contact forces is analysed. The results show that the increase of the defect degree causes the increment of the contact force peak around the defective dropper point. The defect on the first or last dropper within a span is the most detrimental to the current collection quality, as it directly causes the increase of maximum contact force, which challenges the safe operation of the pantograph-OCL system, and should be strictly restricted. The PSD (Power Spectral Density) analysis of contact force indicates that the dropper defect distorts the frequency characteristics of the contact force. The energy of contact forces decreases at the dropper-interval related frequencies due to the presence of dropper defect. Similarly, a significant 'break' of the dropper-interval frequency component can be observed in the time-frequency representation of the contact force. This phenomenon has the potential to be used to identify and locate the defective dropper from the measured contact force.

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Analysis of the evolvement of contact wire wear irregularity in railway catenary based on historical data

Cited by 30 publications

References 28 publications

Assessment of the High-Frequency Response in Railway Pantograph-Catenary Interaction Based on Numerical Simulation

Assessment of the High-Frequency Response in Railway Pantograph-Catenary Interaction Based on Numerical Simulation

Virtual Reality and Convolutional Neural Networks for Railway Catenary Support Components Monitoring

Dynamic Performance of High-Speed Railway Overhead Contact Line Interacting With Pantograph Considering Local Dropper Defect

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