题目：Multi-task multi-level alarm of long-span railway bridge monitoring systems via excitation-response indicators cross-cooperation

作者：Bin Chen, Jinlu Yang, Hanwei Zhao, Mancheng Lu

DOI号：https://doi.org/10.1016/j.hspr.2025.08.001

摘要：There are multiple types of risks involved in the service of long-span railway bridges. Classical methods are difficult to provide targeted alarm information according to different situations of load anomalies and structural anomalies. To accurately alarm different risks of long-span railway bridges by structural health monitoring systems, this paper proposes a cross-cooperative alarm method using principal and secondary indicators during high-wind periods. It provides the prior criterion for monitoring systems under special conditions, defining the principal and secondary indicators, alarm levels, and thresholds based on the relationship between dynamic equilibrium equations and multiple linear regression analysis. Analysis of one-year monitoring data from a long-span railway cable-stayed bridge shows that the 10-min average cross-bridge wind speed (excitation indicator) can be selected as the principal indicator, while lateral displacement (response indicator) can serve as the secondary indicator. The threshold levels of the secondary indicator prioritize the safety of bridge operation (mainly aiming at the safety of trains traversing bridges), with values significantly lower than structural safety thresholds. This approach enhances alarm timeliness and effectively distinguishes between load anomalies, structural anomalies, and equipment failures. Consequently, it improves alarm accuracy and provides timely decision support for bridge maintenance, train traversing, and emergency treatment.

引用格式：B.Chen, J.L.Yang, H.W.Zhao, et al.,Multi-task multi-level alarm of long-span railway bridge monitoring systems via excitation-response indicators cross-cooperation,[J]. High-speed Railway, 2025, 3(4): 261-266.

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题目：An estimating methodology for the load of train axle box bearings

作者：Zhenqian Li, Maoru Chi, Wubin Cai, Yabo Zhou

DOI号：https://doi.org/10.1016/j.hspr.2025.08.002

摘要：Axle box bearings serve as crucial components within the transmission system of high-speed trains. Their failure can directly impact the operational safety of these trains. Accurately determining the dynamic load experienced by bearings during the operation of high-speed trains can provide valuable boundary inputs for the study of bearing fatigue life and service performance, thereby holding significant engineering implications. In this study, we propose a high-speed train axle box bearing load estimation method (FMCC-DKF). This method is founded on the Kalman filtering technique of the Maximum Correntropy Criterion (MCC) and employs dummy measurement technology to enhance the stability of estimated loads. We develop a kernel size update algorithm to address the challenges associated with obtaining the key parameter, kernel size of MCC. Comparative analysis of the vertical and lateral loads of the axle box bearing obtained using FMCC-DKF, DKF, and AMCC-DKF, under both measurement noise-free and non-Gaussian noise conditions, is conducted to demonstrate the superiority of the proposed estimation method. The results indicate that the proposed FMCC-DKF method exhibits high estimation accuracy under both measurement noise-free and non-Gaussian noise interference, and maintains its high estimation accuracy despite changes in train speed. The proposed load estimation method demonstrates reliable performance within the low-frequency domain below 70 Hz.

引用格式：Z.Q.Li, M.R.Chi, W.B.Cai, et al.,INS-aided GNSS jamming protection in support of resilient train positioning,[J]. High-speed Railway, 2025, 3(4): 267-280.

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题目：Compact, gain-enhanced 5G mmWave antenna with metallic ground-backed reflector for high-speed railway communication systems

作者：Dunya Zeki Mohammed, Ahmed J.A. Al-Gburi

DOI号：https://doi.org/10.1016/j.hspr.2025.08.004

摘要：Axle box bearings serve as crucial components within the transmission system of high-speed trains. Their failure can directly impact the operational safety of these trains. Accurately determining the dynamic load experienced by bearings during the operation of high-speed trains can provide valuable boundary inputs for the study of bearing fatigue life and service performance, thereby holding significant engineering implications. In this study, we propose a high-speed train axle box bearing load estimation method (FMCC-DKF). This method is founded on the Kalman filtering technique of the Maximum Correntropy Criterion (MCC) and employs dummy measurement technology to enhance the stability of estimated loads. We develop a kernel size update algorithm to address the challenges associated with obtaining the key parameter, kernel size of MCC. Comparative analysis of the vertical and lateral loads of the axle box bearing obtained using FMCC-DKF, DKF, and AMCC-DKF, under both measurement noise-free and non-Gaussian noise conditions, is conducted to demonstrate the superiority of the proposed estimation method. The results indicate that the proposed FMCC-DKF method exhibits high estimation accuracy under both measurement noise-free and non-Gaussian noise interference, and maintains its high estimation accuracy despite changes in train speed. The proposed load estimation method demonstrates reliable performance within the low-frequency domain below 70 Hz.

引用格式：D.Z.Mohammed,A.J.A.A.Gburi,Compact, gain-enhanced 5G mmWave antenna with metallic ground-backed reflector for high-speed railway communication systems,[J]. High-speed Railway, 2025, 3(4): 281-292.

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题目：Microstructure change rule during the consolidation process of peat soil from Yunnan province

作者：Ruiling Feng, Ou Wang, Zhenhao Zhang, Jing Huang, Yanping Wang

DOI号：https://doi.org/10.1016/j.hspr.2025.08.005

摘要：Peat soil is a loose, moisture-rich organic matter accumulation formed by the deposition of plants in swamps and lakes after their death. It is characterized by high moisture content, large void ratio, high compressibility, and strong rheological properties. These characteristics result in a complex consolidation process. A systematic understanding of the consolidation mechanism of peat soil is essential for elucidating its consolidation behavior. Previous studies have failed to provide consistent information on the microscopic morphology of peat soil. Moreover, quantitative studies on pore structure changes during peat soil consolidation remain lacking. To resolve these research gaps, the microscopic morphology and pore types of peat, highly organic peaty soil, and medium organic peaty soil from certain regions of Yunnan province, China, were observed and analyzed using scanning electron microscopy. Additionally, quantitative research on pore structure changes during peat soil consolidation was conducted. The results show that the humic acid in peat soil of Yunnan province has no pores, and there is no pore between humic acid and clay minerals. There are three typical pore structures, and the three typical pores were quantitatively analyzed. During consolidation, the consolidation deformation of peat soil is primarily caused by the internal pore compression of plant residues and pores between plant residues. At the same time, the revelation of the differentiated influence mechanism of load levels on the compression of inter/intra-plant residue pores. The decrease in the proportion of pores between plant residues first increased and then decreased with an increase in load, reaching a peak between 100–200 kPa. The decrease in pores inside the plant residues increased with an increasing load. Additionally, pore compression between the plant residues under different load levels primarily caused the compression deformation of Dali peat during the primary consolidation stage. By contrast, the pore compression inside the plant residues primarily caused the compression deformation during the secondary consolidation stage.

引用格式：R.L.Feng, O.Wang, Z.H.Zhang, et al.,Microstructure change rule during the consolidation process of peat soil from Yunnan province,[J]. High-speed Railway, 2025, 3(4): 293-304.

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题目：A method for predicting random vibration response of train-track-bridge system based on GA-BP neural network

作者：Jianfeng Mao, Yun Zhang, Li Zheng, Mansoor Khan, Zhiwu Yu

DOI号：https://doi.org/10.1016/j.hspr.2025.08.006

摘要：To enhance the efficiency of stochastic vibration analysis for the Train-Track-Bridge (TTB) coupled system, this paper proposes a prediction method based on a Genetic Algorithm-optimized Backpropagation (GA-BP) neural network. First, initial track irregularity samples and random parameter sets of the Vehicle–Bridge System (VBS) are generated using the stochastic harmonic function method. Then, the stochastic dynamic responses corresponding to the sample sets are calculated using a developed stochastic vibration analysis model of the TTB system. The track irregularity data and vehicle–bridge random parameters are used as input variables, while the corresponding stochastic responses serve as output variables for training the BP neural network to construct the prediction model. Subsequently, the Genetic Algorithm (GA) is applied to optimize the BP neural network by considering the randomness in excitation and parameters of the TTB system, improving model accuracy. After optimization, the trained GA-BP model enables rapid and accurate prediction of vehicle–bridge responses. To validate the proposed method, predictions of vehicle–bridge responses under varying train speeds are compared with numerical simulation results. The findings demonstrate that the proposed method offers notable advantages in predicting the stochastic vibration response of high-speed railway TTB coupled systems.

引用格式：J.F.Mao, Y.Zhang, L.Zheng, et al.,A method for predicting random vibration response of train-track-bridge system based on GA-BP neural network,[J]. High-speed Railway, 2025, 3(4): 305-317.

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题目：Study on noise control and safety assessment of an EMU motor

作者：Leiwei Zhu, Wenlong Ma, Yanju Zhao, Dawei Chen, Jianqiang Guo

DOI号：https://doi.org/10.1016/j.hspr.2025.09.001

摘要：During the trial operation of a certain electric multiple unit, it was found that although the noise amplitude in the passenger compartment above the traction motor met the limit standard requirements when operating at speeds between 100 and 160 km/h. However, during the traction and braking processes, there were distinct frequency peaks in the traction motor noise, affecting passenger comfort. To improve the ride comfort during this speed range, without affecting the performance of the traction system, rectifications were made to address the motor noise issue. Measures such as adjusting the switching frequency and modifying the direct current voltage were proposed to optimize the traction control software. Through comparative testing of different control measures, the most effective control measure was selected, which effectively eliminated the single-frequency noise of the motor in this speed range. Additionally, a safety assessment was conducted to demonstrate that the new motor traction measures met the requirements for traction and operational reliability.

引用格式：L.W.Zhu, W.L.Ma, Y.J.Study on noise control and safety assessment of an EMU motor,[J]. High-speed Railway, 2025, 3(4):318-324.

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题目：An online diagnosis method for voltage sensor intermittent fault in railway traction drive systems based on NARX-ELM predictor

作者：Haichuan Tang, Yifan Sun, Xiaoyu Shen, Qi Liu

DOI号：https://doi.org/10.1016/j.hspr.2025.09.003

摘要：In the field of railway traction drive systems, voltage sensor intermittent faults can significantly impact the reliability and safety of the entire system. This paper proposes an online diagnosis method for detecting such faults using an Artificial Intelligence (AI) predictor based on a Nonlinear Autoregressive with eXogenous inputs (NARX) data structure. The model is trained efficiently using the Extreme Learning Machine (ELM) algorithm. The NARX model captures the dynamic characteristics of the voltage sensor data, enabling the AI predictor to learn complex nonlinear relationships. The ELM training method ensures rapid convergence and high accuracy. Through extensive experimental validation, the proposed method demonstrates high sensitivity to voltage sensor intermittent faults and robust performance under varying operating conditions. This approach offers a promising solution for enhancing the diagnostic capabilities of railway traction systems, ensuring timely fault detection and improving overall system reliability.

引用格式：H.C.Tang, Y.F.Sun, X.Y.Shen,et al.,An online diagnosis method for voltage sensor intermittent fault in railway traction drive systems based on NARX-ELM predictor

,[J]. High-speed Railway, 2025, 3(4):325-329.

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题目：Reactivation of the railway line from Surabaya to Madura: Enhancing regional connectivity and transportation infrastructure

作者：Gunawan Gunawan, Basil David Daniel, Slamet Budi Utomo, Jenny Caroline

DOI号：https://doi.org/10.1016/j.hspr.2025.09.005

摘要：Indonesia is facing severe congestion and high accident rates as motor vehicle growth continues to outpace road capacity, underscoring the urgent need for alternative mass transportation. A promising solution is the reactivation of the Surabaya–Madura railway, an abandoned infrastructure with significant potential to enhance regional connectivity and urban mobility. However, academic studies on railway reactivation remain limited, particularly in the Madura context where dependence on road-based transport persists. This research gap highlights the importance of examining reactivation not only as a transportation alternative but also as a catalyst for regional development. This study adopts a qualitative approach through descriptive surveys to evaluate infrastructure conditions, identify feasible routes, and analyze broader spatial implications. Findings reveal that railway reactivation could strengthen multimodal integration, reduce congestion, and support sustainable growth. This study provides the first empirical evidence of the strategic value of the Surabaya–Madura railway within Indonesia’s transport and regional development discourse.

引用格式：G,Gunawan, B.D.Daniel, S.B.Utomo,et al.,Reactivation of the railway line from Surabaya to Madura: Enhancing regional connectivity and transportation infrastructure,[J]. High-speed Railway, 2025, 3(4):330-336.

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期刊介绍

《高速铁路（英文）》（High - speed Railway, HSPR）CN 10-1922/U2, ISSN 2949-8678，由北京交通大学主办，中国工程院院士卢春房担任创刊主编，北京交通大学校长余祖俊任执行主编。期刊以传播新理论、新技术，探讨高速铁路发展中的理论与实践问题为导向，坚持理论与实践、引进与创新相结合的方针，致力于反映高速铁路规划与设计、运营与管理，高速铁路设备及铁路工程等方面的最新成果，促进国际间学术交流与合作，提升我国高速铁路事业的国际影响力，推动世界高速铁路技术发展。期刊现有编委共计29名，其中外籍编委占比达60%。这些外籍编委地域分布广泛，主要集中在美国、英国、日本、法国等国家，阵容中不乏来自美国、澳大利亚、日本、新加坡、希腊等国的科学/工程院院士。期刊成功入选“2022 年度中国科技期刊卓越行动计划高起点新刊”项目，目前被国内外重要数据库ESCI、CSCD、INSPEC、Scopus、DOAJ等收录。

期刊主页：

https://www.keaipublishing.com/en/journals/high-speed-railway/

投稿地址：

https://www.editorialmanager.com/hspr/default2.aspx

联系邮箱：

sgu@bjtu.edu.cn