Diagnostics of Electrical Connections of Electric Traction Network

被引:0
|
作者
Ignatenko, Ivan [1 ]
Vlasenko, Sergey [1 ]
机构
[1] Far Eastern State Transport Univ, 47 Seryshev St, Khabarovsk 680021, Russia
关键词
Electrical connection; Mathematical model; Transition resistance; Diagnostics;
D O I
10.1007/978-3-030-37916-2_8
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Full-scale structural measurements of new and existing electric traction networks are becoming increasingly important because of the ever-increasing train speeds and associated effects. Higher speeds lead to increased loads and greater structural dynamic responses, increasing mechanical and electrical loads. Electrical contact connections are an integral part of the electric traction network: under operating conditions, the electrical installation circuit in many cases should allow to separate the elements from each other. At the same time, electrical contacts are a weak component in energy distribution systems, since the occurrence of large transient resistances in the contact area is one of the most common cases leading to heating of the connection and breakage of the catenary. The purpose of the work is to improve the performance reliability and prevent damage to the electric traction network by reducing the complexity of servicing bolted electrical connections through the development and mass implementation of visual diagnostics. The main parameter characterizing the bolted electrical connection is its resistance, the value of which depends on two interrelated factors: parameters of the contacting surfaces and the contact force. Research of thermal processes in the contact connection and determination of its performance characteristics allow to create a method of diagnosis of the state of the electrical connection on the basis of new methods using modern equipment.
引用
收藏
页码:69 / 78
页数:10
相关论文
共 50 条
  • [1] On Formalization the Problem of Diagnostics of Electric Circuits with Magnetic Connections
    Kinsht, Nikolay V.
    Petrun'ko, Natalia N.
    T& D ASIA: 2009 TRANSMISSION & DISTRIBUTION CONFERENCE & EXPOSITION: ASIA AND PACIFIC, 2009, : 535 - 538
  • [2] Diagnostics of Traction Electric Motors of Electric Rolling Stock Using Artificial Neural Networks
    Kosmodamiansky A.S.
    Inkov Y.M.
    Menshchikov I.A.
    Batashov S.I.
    Russian Electrical Engineering, 2022, 93 (09) : 576 - 583
  • [3] Simulation Model of an Electric-Traction Network
    Yaroslavtsev M.V.
    Spiridonov E.A.
    Russian Electrical Engineering, 2022, 93 (05) : 331 - 335
  • [5] DEVELOPMENT OF A SYSTEM FOR PREDICTIVE DIAGNOSTICS OF TRACTION ASYNCHRONOUS ELECTRIC DRIVE FOR TRAINS
    Bozek, Pavol
    Krenicky, Tibor
    Stepanov, Pavel Ivanovich
    Nikitin, Yury Rafailovich
    Gupalov, Boris Alekseevich
    Lagutkin, Stanislav Vladimirovich
    MM SCIENCE JOURNAL, 2022, 2022 : 6123 - 6126
  • [6] How Electrical Steel Optimizes Traction Electric Machine Design
    Jacobs, Sigrid
    Vandenbossche, Lode
    Attrazic, Emmanuel
    IEEE ELECTRIFICATION MAGAZINE, 2019, 7 (01): : 39 - 48
  • [7] Reliability Growth of Digital Electric Traction Network Protection
    Kuznetsov, Sergey M.
    Malozyomov, Boris V.
    Rozhkova, Marina V.
    Demidenko, Ivan S.
    2017 18TH INTERNATIONAL CONFERENCE OF YOUNG SPECIALISTS ON MICRO/NANOTECHNOLOGIES AND ELECTRON DEVICES (EDM), 2017, : 556 - 559
  • [8] Aspects regarding the Monitoring of Electrical Equipment from Electric Traction
    Munteanu, Adrian
    Adam, Maricel
    Andrusca, Mihai
    Dragomir, Alin
    Micu, Marian Bogdan
    2018 INTERNATIONAL CONFERENCE AND EXPOSITION ON ELECTRICAL AND POWER ENGINEERING (EPE), 2018, : 547 - 550
  • [9] Automated Diagnostics of Current Pick-Up Disturbances in Electric Traction Networks
    Bartlomiejczyk, Mikolaj
    Hamacek, Stefan
    Kolosov, Dmitry
    Zharkov, Yuri I.
    2014 14TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC), 2014, : 378 - 381
  • [10] Frequency Analysis of Modal Distortions and its Application to Diagnostics of Electric Connections
    P. E. Orlov
    T. R. Gazizov
    A. M. Zabolotsky
    Russian Physics Journal, 2014, 56 : 1099 - 1101