Grounding Fault Diagnosis of Running Rails Based on a Multi-scale One-Dimensional Convolutional Neural Network in a DC Subway System

IF 1.7 4区 工程技术 Q4 TRANSPORTATION
Guifu Du, Na Liu, Dongliang Zhang, Qiaoyue Li, Jianxiang Sun, Xingxing Jiang, Zhongkui Zhu
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引用次数: 0

Abstract

Running rails are the return conductors of the traction current in DC subway systems, which should be insulated from the earth. Due to the large length of the line, as well as the humidity and metal dust in the tunnel, grounding fault of the running rails usually occurs, which will increase stray current (SC) leakage and endanger power supply safety. In this paper, a method of grounding fault diagnosis of running rails based on a multi-scale one-dimensional convolutional neural network (MS-1DCNN) is proposed. Firstly, a platform for the dynamic distribution of SC and rail potential (RP) with grounding faults existing in the running rails is established, which generates the dynamic RP data with various grounding faults. Secondly, a grounding fault diagnostic method of running rails based on MS-1DCNN is proposed, so as to realize the effective identification of ground fault types in subway systems. Thirdly, with the proposed diagnostic method, the datasets under two operating conditions of a single train and two trains are tested; a comparison test between MS-1DCNN and the 1D convolutional neural network (1DCNN) is carried out, and the effectiveness of the proposed method is verified. Results demonstrate that the proposed model can significantly improve the ground fault diagnostic accuracy of running rails. The dynamic RP simulation platform for trains established in this paper lays a theoretical foundation for the grounding fault research of running rail. Moreover, the deep learning method is proposed for the first time to diagnose the grounding fault of running rail, and the high diagnostic accuracy is obtained, which is of great significance for the safe and stable operation of the subway line.

Abstract Image

基于多尺度一维卷积神经网络的直流地铁系统运行轨道接地故障诊断
钢轨是直流地铁系统中牵引电流的返回导体,应与大地绝缘。由于线路长度较大,加之隧道内湿度大、金属粉尘多,通常会发生钢轨接地故障,从而增加杂散电流(SC)泄漏,危及供电安全。本文提出了一种基于多尺度一维卷积神经网络(MS-1DCNN)的运行轨接地故障诊断方法。首先,建立了运行轨道存在接地故障时 SC 和轨道电位(RP)的动态分布平台,生成了各种接地故障的动态 RP 数据。其次,提出基于 MS-1DCNN 的运行轨道接地故障诊断方法,从而实现对地铁系统接地故障类型的有效识别。第三,利用所提出的诊断方法,测试了单列车和双列车两种运行条件下的数据集,并进行了 MS-1DCNN 与一维卷积神经网络(1DCNN)的对比测试,验证了所提出方法的有效性。结果表明,所提出的模型能显著提高运行轨道的接地故障诊断精度。本文建立的列车动态 RP 仿真平台为运行轨道接地故障研究奠定了理论基础。此外,本文首次提出了深度学习方法来诊断运行轨接地故障,并获得了较高的诊断精度,对地铁线路的安全稳定运行具有重要意义。
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来源期刊
Urban Rail Transit
Urban Rail Transit Multiple-
CiteScore
3.10
自引率
6.70%
发文量
20
审稿时长
5 weeks
期刊介绍: Urban Rail Transit is a peer-reviewed, international, interdisciplinary and open-access journal published under the SpringerOpen brand that provides a platform for scientists, researchers and engineers of urban rail transit to publish their original, significant articles on topics in urban rail transportation operation and management, design and planning, civil engineering, equipment and systems and other related topics to urban rail transit. It is to promote the academic discussions and technical exchanges among peers in the field. The journal also reports important news on the development and operating experience of urban rail transit and related government policies, laws, guidelines, and regulations. It could serve as an important reference for decision¬makers and technologists in urban rail research and construction field. Specific topics cover: Column I: Urban Rail Transportation Operation and Management • urban rail transit flow theory, operation, planning, control and management • traffic and transport safety • traffic polices and economics • urban rail management • traffic information management • urban rail scheduling • train scheduling and management • strategies of ticket price • traffic information engineering & control • intelligent transportation system (ITS) and information technology • economics, finance, business & industry • train operation, control • transport Industries • transportation engineering Column II: Urban Rail Transportation Design and Planning • urban rail planning • pedestrian studies • sustainable transport engineering • rail electrification • rail signaling and communication • Intelligent & Automated Transport System Technology ? • rolling stock design theory and structural reliability • urban rail transit electrification and automation technologies • transport Industries • transportation engineering Column III: Civil Engineering • civil engineering technologies • maintenance of rail infrastructure • transportation infrastructure systems • roads, bridges, tunnels, and underground engineering ? • subgrade and pavement maintenance and performance Column IV: Equipments and Systems • mechanical-electronic technologies • manufacturing engineering • inspection for trains and rail • vehicle-track coupling system dynamics, simulation and control • superconductivity and levitation technology • magnetic suspension and evacuated tube transport • railway technology & engineering • Railway Transport Industries • transport & vehicle engineering Column V: other topics of interest • modern tram • interdisciplinary transportation research • environmental impacts such as vibration, noise and pollution Article types: • Papers. Reports of original research work. • Design notes. Brief contributions on current design, development and application work; not normally more than 2500 words (3 journal pages), including descriptions of apparatus or techniques developed for a specific purpose, important experimental or theoretical points and novel technical solutions to commonly encountered problems. • Rapid communications. Brief, urgent announcements of significant advances or preliminary accounts of new work, not more than 3500 words (4 journal pages). The most important criteria for acceptance of a rapid communication are novel and significant. For these articles authors must state briefly, in a covering letter, exactly why their works merit rapid publication. • Review articles. These are intended to summarize accepted practice and report on recent progress in selected areas. Such articles are generally commissioned from experts in various field s by the Editorial Board, but others wishing to write a review article may submit an outline for preliminary consideration.
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