Risk Assessment Method for High-Speed Railway Track Based on Dynamically Weighted Acceleration

Published on Dec 1, 2021in Journal of Infrastructure Systems2.411
· DOI :10.1061/(ASCE)IS.1943-555X.0000643
Xiaohui Wang1
Estimated H-index: 1
(Beijing University of Civil Engineering and Architecture),
Jianwei Yang7
Estimated H-index: 7
(Beijing University of Civil Engineering and Architecture)
+ 2 AuthorsFu Liu (Beijing University of Civil Engineering and Architecture)
#1Jinhai Wang (Beijing University of Civil Engineering and Architecture)H-Index: 6
#2Jianwei Yang (UOIT: University of Ontario Institute of Technology)H-Index: 7
Last. Dechen Yao (Beijing University of Civil Engineering and Architecture)H-Index: 5
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Increasing service time makes the axlebox bearing of railway vehicle vulnerable to develop a fault in inner or outer races, which can cause some serious adverse effects on a railway vehicle’s safe ...
Abstract Axlebox vibration signals contain critical status information regarding the operating state of a wheelset-axlebox assembly in railway vehicles, and an increasing number of studies have demonstrated the superiority of operating state diagnostic methods based on machine learning that apply image representations of vibration signals as input data. In this regard, the Markov transition field algorithm has been demonstrated to represent the state features of a time series efficiently. Howeve...
#1Xiaohui WangH-Index: 1
#2Jianwei YangH-Index: 7
Last. Guiyang XuH-Index: 1
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#1Iman Soleimanmeigouni (Luleå University of Technology)H-Index: 7
#2Alireza Ahmadi (Luleå University of Technology)H-Index: 12
Last. Arne NissenH-Index: 11
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AbstractIn order to evaluate the railway track geometry condition and plan maintenance activities, track inspection cars run over the track at specific times to monitor it and record geometry measu...
#1Li Chenzhong (Southwest Jiaotong University)H-Index: 1
#2Ping Wang (Southwest Jiaotong University)H-Index: 15
Last. Qing He (SUNY: State University of New York System)H-Index: 23
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AbstractRailway track geometry is generally understood to be influenced by the deformation of the track infrastructure. This study developed a spatial–temporal identification model for the deformat...
#1Mahsa Movaghar (IUST: Iran University of Science and Technology)H-Index: 1
#2Saeed Mohammadzadeh (IUST: Iran University of Science and Technology)H-Index: 9
AbstractConcerning the optimal balance between the limited budget and maintaining the desired performance and safety level in railway infrastructure, it is necessary to prioritize railway track qua...
#1Tzu-Hao Yan (ETH Zurich)H-Index: 1
#2Francesco Corman (ETH Zurich)H-Index: 29
A systematic maintenance process is essential to keeping railway systems safe and reliable. However, performing such maintenance is costly and often results in system disruption. There is a tradeof...
#1Johannes NeuholdH-Index: 2
#2Ivan VidovicH-Index: 2
Last. Stefan MarschnigH-Index: 5
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AbstractResearch on track quality behavior has been extensively published, and many different approaches have been presented to describe the process of track quality. The research goal of this pape...
#1Yuxin Zhu (HUST: Huazhong University of Science and Technology)H-Index: 1
#2Dazuo TianH-Index: 1
Last. Feng Yan (NCU: Nanchang University)H-Index: 1
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Entropy weight method (EWM) is a commonly used weighting method that measures value dispersion in decision-making. The greater the degree of dispersion, the greater the degree of differentiation, and more information can be derived. Meanwhile, higher weight should be given to the index, and vice versa. This study shows that the rationality of the EWM in decision-making is questionable. One example is water source site selection, which is generated by Monte Carlo Simulation. First, too many zero ...
#1Yipeng ZhouH-Index: 1
#2Xing WangH-Index: 4
Last. Yuanrong Tian (National University of Defense Technology)H-Index: 1
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Specific emitter identification is a technique that distinguishes different emitters using radio fingerprints. Feature extraction and classifier selection are critical factors affecting SEI performance. In this paper, we propose an SEI method using the Bispectrum-Radon transform (BRT) and a hybrid deep model. We propose BRT to characterize the unintentional modulation of pulses due to the superiority of bispectrum distributions in characterizing nonlinear features of signals. We then apply a hyb...
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