High-speed Railway最新文献

{"title":"A systematic literature review on active control technology of pantograph-catenary system in high-speed railway","authors":"Zhigang Liu ,&nbsp;Hui Wang ,&nbsp;Haonan Yang ,&nbsp;Yang Song","doi":"10.1016/j.hspr.2025.11.004","DOIUrl":"10.1016/j.hspr.2025.11.004","url":null,"abstract":"<div><div>The Pantograph-Catenary System (PCS) is a critical interface for stable power acquisition in high-speed railways, and its dynamic interaction performance directly dictates the safety and reliability of train operation. As operating speeds increase, traditional passive pantographs experience severe fluctuations in contact force, leading to electrical arcing and mechanical wear, becoming a key bottleneck to further speed advancements. Active control technology, which integrates sensors, controllers, and actuators to regulate the pantograph’s behavior dynamically, is a core solution for addressing these challenges and ensuring superior current collection quality. This review aims to systematically survey and summarize the state of the art and future trends in active control for the pantograph-catenary system. Firstly, the core dynamic challenges and the necessity of active control are discussed before detailing the key modeling techniques required for simulation and real-time control design. Secondly, existing active control strategies are meticulously classified and reviewed. Subsequently, the essential hardware implementation platforms, including actuators, sensor technologies, real-time controllers, and Hardware-In-the-Loop (HIL) testing rigs, are systematically outlined, thereby bridging theory and practical verification. Additionally, the emerging concept of active catenary control is also explored. Finally, present an in-depth discussion and outlook on the current status and limitations. This review is intended to provide a comprehensive and insightful reference for researchers and engineers in the relevant fields.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"4 2","pages":"Pages 109-123"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148195837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Structural health monitoring of bogie system based on transfer function method","authors":"Yang Liu ,&nbsp;Xingwen Wu ,&nbsp;Yabo Zhou ,&nbsp;Junzuo Liu ,&nbsp;Zefeng Wen","doi":"10.1016/j.hspr.2025.10.003","DOIUrl":"10.1016/j.hspr.2025.10.003","url":null,"abstract":"<div><div>The bogie serves as a pivotal structural and functional unit within the rail vehicle system, and any failure in its performance can critically affect the safety and reliability of railway operations. This paper aims to develop a bogie structural health monitoring system based on the transfer function. In this study, the rigid-flexible coupling model of the bogie system will be established through the parameters and data of a real vehicle system. Propose a method for calculating the transfer function through the cross spectral density and auto spectral density. In this study, the system is constructed with the 3-axial acceleration data of the axle box and the stress of a cowcatcher. Then, calculate the transfer function of the 3-input single output system. And the system error is corrected through the sliding window method. Subsequently, the transfer function is used to predict the stress of the cowcatcher. Finally, based on the Dirlik frequency domain fatigue life estimation method, the damage and remaining life of the cowcatcher were calculated by using the measured stress and the predicted stress by transfer function. The results show that the stress results of the two methods have good consistency in both time and frequency domains, with a maximum error of only 6.5 %. It illustrates that the method can reproduce the stress state of the bogie system well. Based on this method, structural health monitoring of the bogie system can be realized.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"4 2","pages":"Pages 69-75"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148195833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on stiffness and consistent mass matrices for the tapered three-dimensional beam using a force-based method","authors":"Yuquan Wang ,&nbsp;Tongtong Xie ,&nbsp;Li Zhu ,&nbsp;Qunguang Huang ,&nbsp;Jian Hong ,&nbsp;Juzhen Tang ,&nbsp;Xuejin Huo","doi":"10.1016/j.hspr.2026.01.007","DOIUrl":"10.1016/j.hspr.2026.01.007","url":null,"abstract":"<div><div>For variable-section high-speed railway bridges, such as continuous girders and rigid-frame bridges, tapered 3D beam elements are frequently utilized to model bridge components. However, current high-speed railway design software and vehicle-bridge coupling analysis software tend to use prismatic beams instead, which leads to insufficient accuracy. In this paper, the cross-sectional stiffness matrix and flexibility matrix without rigid body displacement are established utilizing a generalized coordinate system with cantilever beam constraint and force interpolation function based on the equilibrium relation. Based on the force-based finite element method in combination with the virtual work principle, the shape function matrices for the cases with and without considering the shear effect are deduced, respectively. Then, the tapered 3D beam element consistent mass matrix is derived. To verify the accuracy of the proposed force-based finite element method, the derived matrix is degenerated into a prismatic beam to obtain the prismatic 3D beam element consistent mass matrix. Furthermore, compared with the commercial software Midas, the maximum natural frequency error for a linearly varying simply supported beam is less than 0.16 %. Both the theoretical degenerate solution and the numerical verification case prove that the stiffness matrix and consistent mass matrix of the tapered 3D beam element derived in this paper are highly accurate. Moreover, the force-based derivation method is proven to be reliable for deriving the tapered 3D beam element dynamic property matrix.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"4 2","pages":"Pages 130-140"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148195839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Audio fault detection for high-voltage cable terminations","authors":"Renzhong Shuai,&nbsp;Yanju Zhao,&nbsp;Zhenfei Zhao,&nbsp;Yihang Yu","doi":"10.1016/j.hspr.2025.11.002","DOIUrl":"10.1016/j.hspr.2025.11.002","url":null,"abstract":"<div><div>This paper addresses the challenge of weak discharge characteristics being masked by strong background noise in the acoustic detection of partial discharges in high-speed train high-voltage cable terminals. It innovatively introduces the Minimum Entropy Deconvolution (MED) method for fault diagnosis. Traditional detection methods are difficult to apply rapidly in vehicle maintenance due to equipment complexity and environmental constraints. The proposed method collects acoustic signals from cable terminals using portable devices and leverages the core advantage of the MED algorithm—designing an optimal inverse filter to maximize the enhancement of periodic impulse components within the signal. This effectively extracts the pulse sequences associated with partial discharges from heavy noise. Combined with a 2000 Hz high-pass filter to suppress low-frequency interference, the method clearly identifies discharge signals characterized by 50 Hz and its harmonics in both the time-domain waveform and frequency spectrum. Experimental and field verification demonstrate that this method can accurately distinguish faulty cables. Furthermore, an integrated graphical user interface analysis program was developed based on this approach, automating and streamlining the detection process. This provides a novel, low-cost, and efficient on-site solution for the operation and maintenance of high-voltage cables in rail transit.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"4 2","pages":"Pages 99-108"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148195836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Strategies for establishing and developing an international journal in the high-speed railway field","authors":"Shuang Gu,&nbsp;Dongmei Wang","doi":"10.1016/j.hspr.2026.05.008","DOIUrl":"10.1016/j.hspr.2026.05.008","url":null,"abstract":"<div><div>This paper reviews the innovative international development practices promoted by <em>High-speed Railway</em> (HSPR), a journal launched under the “High-Starting-Point New Journals” subprogram of the Excellence Action Plan for Chinese Scientific Journals. With the goal of establishing a world-class journal in the traffic and transportation field, this study explores a model for developing a leading science and technology journal aligned with the goals of the “Double First-Class” initiative (China’s program for developing world-class universities and disciplines). Using statistical data analysis, the study conducts a comparative analysis of global high-speed railway development and high-impact traffic and transportation journals. It examines the consolidation of the sponsor university resources, the composition of the editorial board, and its regional distribution. Furthermore, this paper explains how the editor-in-chief team, editorial board, and Young editorial board collaboratively guide the journal’s focus based on disciplinary trends and establish a targeted editorial scope. The team’s efforts in developing professional publishing capabilities are summarized, as is the strong support provided by the sponsor university’s existing publishing journals. Finally, the journal of <em>High-speed Railway</em>’s achievements are discussed to provide a reference for the future novel established international journals in traffic and transportation and other related fields.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"4 2","pages":"Pages 141-149"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148195840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Brain-inspired memory architecture for condition monitoring based on hippocampal-neocortical complementary learning","authors":"Yue Yu ,&nbsp;Zeyun Yang ,&nbsp;Xiaohui Zhang ,&nbsp;Xinkang Li ,&nbsp;Jianhui Yi ,&nbsp;Deshui Han","doi":"10.1016/j.hspr.2025.11.001","DOIUrl":"10.1016/j.hspr.2025.11.001","url":null,"abstract":"<div><div>This paper tackles the critical challenge of catastrophic forgetting and inefficient learning in artificial intelligence models processing continuous, non-stationary data streams. Inspired by neurobiological mechanisms, specifically the Complementary Learning Systems (CLSs) theory involving the hippocampus and neocortex, we propose a novel brain-inspired biomimetic memory system. The core innovation integrates dimensionality reduction techniques—covariance decomposition and low-dimensional mapping—for efficient feature extraction from long spatiotemporal-scale information flows, with a biomimetic learning/forgetting mechanism grounded in CLS principles. Evaluated on real-world power plant operational data, the proposed system demonstrates robust performance against noise and fluctuations, validating the effectiveness of the bionic learning/forgetting mechanism.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"4 2","pages":"Pages 89-98"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148195835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamics identification of guideway girder and assessment of the effects on high-speed maglev vehicle–guideway coupled system","authors":"Ziyang Zhang ,&nbsp;Jingyu Huang ,&nbsp;Dongzhou Wang ,&nbsp;Xu Chen ,&nbsp;Yinda Wang ,&nbsp;Xiaolong Yan ,&nbsp;Qifei Lu","doi":"10.1016/j.hspr.2025.12.001","DOIUrl":"10.1016/j.hspr.2025.12.001","url":null,"abstract":"<div><div>The guideway girder is a key supporting component that ensures the safe and stable operation of high-speed maglev systems. Taking the Shanghai high-speed maglev demonstration line as the background, this paper conducts a comprehensive experimental and numerical investigation on the dynamic characteristics of the guideway girder. Dynamic response tests were carried out under an operational load corresponding to 300 km/h, and by employing the Eigensystem Realization Algorithm (ERA) together with deflection curves derived from the conjugate beam method, a complete set of dynamic properties of the guideway girder was simultaneously identified using field test data. The identified parameters were then used to calibrate a highly reliable vehicle-guideway coupled dynamic model, which showed excellent agreement with the measured data in both the time and frequency domains, thereby undergoing rigorous validation. Numerical simulations based on this model revealed a fundamental transition in the governing dynamic mechanisms of the system: the system response shifted from being primarily resonance-driven to being dominated by inertial forces and dynamic amplification due to moving loads, leading to an acceleration growth rate far exceeding that of quasi-static deflection. This study provides the maglev system with a validated model and new insights into its speed-dependent dynamics, while also pointing out directions for future research focused on mitigating high-frequency vibrations.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"4 2","pages":"Pages 124-129"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148195838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing coupling coefficient and efficiency in wireless power transfer: A comparison of ferrite block and magnetic composite particle material","authors":"Xiuhu Sun ,&nbsp;Shen-En Chen ,&nbsp;Tiefu Zhao","doi":"10.1016/j.hspr.2025.09.002","DOIUrl":"10.1016/j.hspr.2025.09.002","url":null,"abstract":"<div><div>Magnetic components play a critical role in Wireless Power Transfer (WPT) systems by enhancing the coupling coefficient, thereby improving efficiency and power transfer capacity. In high-power WPT systems for electric vehicles and battery-electric locomotives, Ferrite Blocks/Bars (FBs) and Magnetic Composite Particle Materials (MCPMs) are commonly used to fabricate magnetic components, both demonstrating notable performance. However, limited comparative studies have examined their effects on WPT systems. This paper presents a comparative analysis of FB and MCPM in WPT systems, focusing on the coupling coefficient and system efficiency. First, the magnetic reluctance circuit of the WPT coupler is analyzed. Based on this analysis, MCPM couplers without grooves, MCPM couplers with Grooves (MCPM/G), and FB couplers are designed and optimized using finite element analysis to maximize the coupling coefficient under constrained conditions. The optimized couplers are then fabricated and integrated into a prototype WPT system, and their performance is validated through testing. Compared to the coil-only coupler without magnetic components, the simulated and experimental coupling coefficients show that the MCPM coupler improves by 35.36 % and 25.25 %, the MCPM/G coupler improves by 44.96 % and 27.00 %, and the FB coupler improves by 58.82 % and 41.81 %. Regarding maximum efficiency, the MCPM, MCPM/G, and FB couplers achieve increases of 1.22 %, 1.55 %, and 2.39 %, respectively. These results demonstrate the effectiveness of magnetic components and the differences among various materials in enhancing the performance of WPT systems.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"4 2","pages":"Pages 76-88"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148195834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A knowledge modeling method for high-speed railway emergency faults based on structured logic diagrams and knowledge graphs","authors":"Senshen Li ,&nbsp;Chun Zhang ,&nbsp;Guoyuan Yang ,&nbsp;Wei Bai ,&nbsp;Shaoxiong Pang ,&nbsp;Xiaoshu Wang ,&nbsp;Jian Yao ,&nbsp;Ning Zhang","doi":"10.1016/j.hspr.2025.10.004","DOIUrl":"10.1016/j.hspr.2025.10.004","url":null,"abstract":"<div><div>Knowledge graphs, which combine structured representation with semantic modeling, have shown great potential in knowledge expression, causal inference, and automated reasoning, and are widely used in fields such as intelligent question answering, decision support, and fault diagnosis. As high-speed train systems become increasingly intelligent and interconnected, fault patterns have grown more complex and dynamic. Knowledge graphs offer a promising solution to support the structured management and real-time reasoning of fault knowledge, addressing key requirements such as interpretability, accuracy, and continuous evolution in intelligent diagnostic systems. However, conventional knowledge graph construction relies heavily on domain expertise and specialized tools, resulting in high entry barriers for non-experts and limiting their practical application in frontline maintenance scenarios. To address this limitation, this paper proposes a fault knowledge modeling approach for high-speed trains that integrates structured logic diagrams with knowledge graphs. The method employs a seven-layer logic structure—comprising fault name, applicable vehicles, diagnostic logic, signal parameters, verification conditions, fault causes, and emergency measures—to transform unstructured knowledge into a visual and hierarchical representation. A semantic mapping mechanism is then used to automatically convert logic diagrams into machine-interpretable knowledge graphs, enabling dynamic reasoning and knowledge reuse. Furthermore, the proposed method establishes a three-layer architecture—logic structuring, knowledge graph transformation, and dynamic inference—to bridge human-expert logic with machine-based reasoning. Experimental validation and system implementation demonstrate that this approach not only improves knowledge interpretability and inference precision but also significantly enhances modeling efficiency and system maintainability. It provides a scalable and adaptable solution for intelligent operation and maintenance platforms in the high-speed rail domain.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"4 1","pages":"Pages 59-67"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep learning-based method for damage identification and localization of the maglev track stator surface","authors":"Shihua Huang,&nbsp;Tiange Wang,&nbsp;Guofeng Zeng","doi":"10.1016/j.hspr.2025.09.007","DOIUrl":"10.1016/j.hspr.2025.09.007","url":null,"abstract":"<div><div>The stator of the maglev track plays a crucial role in the operation of the maglev system. Currently, the efficiency of maglev track inspection is limited by several factors, including the large span of elevated structures, manual visual inspection, short inspection window times, and limited GPS positioning accuracy. To address these issues, this paper proposes a deep learning-based method for detecting and locating stator surface damage. This study establishes a maglev track stator surface image dataset, trains different object detection models, and compares their performance. Ultimately, YOLO and ByteTrack object tracking algorithms were chosen as the basic framework and enhanced to achieve automatic identification of high-speed maglev track stator surface damage images and track and count stator surface localization feature images. By matching the identified damaged images with their corresponding stator segment and beam segment sequence numbers, the location of the damage is pinpointed to the corresponding stator segment, enabling rapid and accurate identification and localization of complex damage to the maglev track stator surface.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"4 1","pages":"Pages 21-26"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}