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Chinese Journal of Electronics 2024年第3期33卷 814-822页

作者： Junqi LIU Tao WEN Guo XIE Yuan CAO clive roberts Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology The School of Electronic and Information Engineering Beijing Jiaotong University Birmingham Centre for Railway Research and Education University of Birmingham

The fault diagnosis of railway point machines(RPMs) has attracted the attention of engineers and *** have studies considered diverse noises along the *** fulfill this aspect,a multi-time-scale variational mode decomposition(MTSVMD) is proposed in this paper to realize the accurate and robust fault diagnosis of RPMs under multiple *** decomposes condition monitoring signals after coarse-grained processing in varying *** this manner,the information contained in the signal components at multiple time scales can construct a more abundant feature space than at a single *** the experimental validation,a random position,random type,random number,and random length(4R) noise-adding algorithm helps to verify the robustness of the *** adequate experimental results demoristrate the superiority of the proposed MTSVMD-based fault diagnosis.

关键词： Fault diagnosis Condition monitoring Noise Signal processing algorithms Aerospace electronics Rail transportation Robustness

Cuckoo search approach for automatic train regulation under capacity limitation

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Science China(Information Sciences) 2023年第4期66卷 299-300页

作者： Zhuopu HOU Min ZHOU clive roberts Hairong DONG State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University School of Electronic Electrical and Systems Engineering University of Birmingham

Dear editor, In the daily operation of metro systems, external interferences(e.g., signal system malfunction, bad weather) that can affect normal train operation are inevitable. Hence,effective train regulation measures are necessary to ensure service quality and efficient operation [1, 2]. With the explosive growth in the urban rail transit ridership in recent years,

关键词： MODEL TIME

Cooperative adaptive bidirectional control of a train platoon for efficient utility and string stability

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Chinese Physics B 2015年第9期24卷 161-170页

作者：高士根董海荣宁滨 roberts clive 陈磊孙绪彬 State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Birmingham Centre for Railway Research and Education School of ElectronicElectrical and Systems EngineeringUniversity of Birmingham School of Electronic and Information Engineering Beijing Jiaotong University

This paper proposes cooperative adaptive control schemes for a train platoon to improve efficient utility and guarantee string stability. The control schemes are developed based on a bidirectional strategy, i.e., the information of proximal（preceding and following） trains is used in the controller design. Based on available proximal information（prox-info） of location, speed, and acceleration, a direct adaptive control is designed to maintain the tracking interval at the minimum safe distance. Based on available prox-info of location, an observer-based adaptive control is designed to achieve the same target, which alleviates the requirements of equipped sensors to measure prox-info of speed and acceleration. The developed schemes are capable of on-line estimating of the unknown system parameters and stabilizing the closed-loop system, the string stability of train platoon is guaranteed on the basis of Lyapunov stability theorem. Numerical simulation results are presented to verify the effectiveness of the proposed control laws.

关键词： train platoon string stability cooperative adaptive control efficient utility

Dynamic characteristics of a switch and crossing on the West Coast main line in the UK

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Railway Engineering Science 2022年第2期30卷 183-203页

作者： Jou-Yi Shih Paul Weston Mani Entezami clive roberts Birmingham Centre for Railway Research and Education University of BirminghamBirmingham B152TTUK ZynaMic Engineering AB 12070 StockholmSweden

Railway switches and crossings constitute a small fraction of linear track length but consume a large proportion of the railway track system maintenance *** switch and crossing(S&C)faults rarely prevent trains from running,switches and crossings are the source of many faults and need continual *** the rare occasions when trains are prevented from running the cost of the disruption is very *** monitoring of the point operating equipment that moves the switchblades has been in use for many years but condition monitoring of the state of the switch in terms of the support and mechanical damage as trains pass over has only recently started to become *** this end,it is important to understand the correlation between S&C faults and sensor data that can detect those *** paper assesses some of the data collected from multiple sensors variously positioned on and around a switch and crossing on the UK mainline for a few days of normal train ***,geophones,and strain gauges were installed at the locations where they were anticipated to be most *** at the load transfer point on the crossing nose were estimated from two separate strain gauge bridges and possible use of acceleration on the crossing is *** between different data are analysed and assessed and correlation between peak estimated load transfer forces and accelerations is *** on the analysis,conclusions are drawn about the different types of dynamic information around S&Cs that can be obtained from a variety of sensor types.

关键词： Railway Accelerometer Condition monitoring Impact force Switch and crossing Strain gauge

Concept development and testing of the UK’s first hydrogenhybrid train(HydroFLEX)

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Railway Engineering Science 2021年第3期29卷 248-257页

作者： Charles Calvert Jeff Allan Peter Amor Stuart Hillmansen clive roberts Paul Weston Birmingham Centre for Railway Research and Education School of EngineeringUniversity of BirminghamEdgbastonBirmingham B152TTUK Jeff Vehicles Ltd BeavercreekUSA

In October 2018,Porterbrook and the University of Birmingham announced the HydroFLEX project,to demonstrate a hydrogen-hybrid modified train atRail Live *** concept of modifying a Class 319 Electric Multiple Unit was developed,with equipment including a fuel cell stack,traction battery,24 V control system and hydrogen storage elements to be mounted inside one of the *** was followed by procurement of a fuel cell stack,traction batteries,and control equipment,which was then installed inside the train,being fixed to the seat *** substantial change from the concept was the provision of considerably more hydrogen storage than the minimum necessary,providing the train with more potential to be further modified to allow for higher speed mainline *** the Rail Live exhibition where HydroFLEX was demonstrated,numerous modifications were performed to increase the reliability and power of the HydroFLEX train,primarily concerned with modifying the base train logic,with the aim of a successfulmainline *** this effort was a multitude of documentation concerning safety,operations,and approvals to gain approvals from the relevant approvals *** project demonstrated the feasibility of using hydrogen fuel cells as an autonomous fuel for railway propulsion systems,which has the potential for full decarbonisation.

关键词： Hydrogen Fuel cell Hybrid Systems engineering

Rail fastener detection of heavy railway based on deep learning

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High-Speed Railway 2023年第1期1卷 63-69页

作者： Yuan Cao Zihao Chen Tao Wen clive roberts Yongkui Sun Shuai Su National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong UniversityBeijing 100044China School of Electronic and Information Engineering Bejing Jiaotong UniversityBeijing 100044China Birmingham Centre for Railway Research and Education University of BirminghamBirmingham B152TTUK Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong UniversityBeijing 100044China

Image detection based on machine learning and deep learning currently has a good application prospect for railway fault diagnosis,with good performance in feature extraction and the accuracy of image localization and good classification *** improve the speed of locating small target objects of fasteners,the YOLOv5 framework model with faster algorithm speed is *** improve the classification accuracy of fasteners,YOLOv5-based heavy-duty railway rail fastener detection is *** anchor size is modified on the original basis to improve the attention to small targets of *** CBAM(Convolutional Block Attention Module)module and TPH(Transformer Prediction Head)module are introduced to improve the speed and accuracy *** rail fasteners are divided into 6 *** comparisons show that before the improvement,the MAP@0.5 value of all categories are close to the peak of 0.989 after the epoch of 150,and the F1 score approaches 1 with confidence in the interval(0.2,0.95).The improved mAP@0.5 value approached the highest value of 0.991 after the epoch of 75,and the F1 score approached 1 with confidence in the interval(0.01,0.95).The experiment results indicate that the improved YOLOv5 model proposed in this paper is more suitable for the task of detecting rail fasteners.

关键词： Rail fasteners Fault diagnosis Heavy haul railways Deep learning YOLO5

A reasoning diagram based method for fault diagnosis of railway point system

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High-Speed Railway 2023年第2期1卷 110-119页

作者： Feng Wang Yuan Cao clive roberts Tao Wen Lei Tan Shuai Su Tao Tang State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong UniversityBeijing 100044China National Engineering Research Center of Rail Transportation Operation and Control System School of Electronic and Information EngineeringBeijing Jiaotong UniversityBeijing100044China Birmingham Centre for Railway Research and Education University of BirminghamBirmingham B152TTUK School of Electronic and Information Engineering Beijing Jiaotong UniversitBeijing 100044China Fronters Science Center or Smart High-speed Raiway Systm Beijing Jiotong Univers Beijing 00044China

Railway Point System(RPS)is an important infrastructure in railway industry and its faults may have significant impacts on the safety and efficiency of train *** the fault diagnosis of RPS,most existing methods assume that sufficient samples of each failure mode are available,which may be unrealistic,especially for those modes of low occurrence frequency but with high *** address this issue,this work proposes a novel fault diagnosis method that only requires the power signals generated under normal RPS operations in the training ***,the failure modes of RPS are distinguished through constructing a reasoning diagram,whose nodes are either binary logic problems or those that can be decomposed into the problems of the binary ***,an unsupervised method for the signal segmentation and a fault detection method are combined to make decisions for each binary logic *** on the results of decisions,the diagnostic rules are established to identify the failure ***,the data collected from multiple real-world RPSs are used for validation and the results demonstrate that the proposed method outperforms the benchmark in identifying the faults of RPSs.

关键词： Railway point system Fault diagnosis Reasoning diagram Segmentation Detection method