M. Steuer, Martin Krzykawski, D. Simiński, Wongelawit Chema, R. Burdzik
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引用次数: 0
Abstract
Detection of the current location of rail vehicles in the railway infrastructure network determines the safety, efficiency and reliability of rail transport. In addition, it indirectly affects the safety at rail-road crossings, i.e. also the BRD (Road Safety). In terms of efficiency and reliability of transport systems, the ability to detect a moving vehicle can improve the effective capacity of railway lines. As in the case of technical diagnostics, effective recognition of the current state of the transport network determines the efficiency of the transport system. The development of railways, with particular emphasis on high-speed railways, makes it necessary to modernize and improve railway traffic control devices and systems. A special area of development, ensuring the safe and effective use of rail transport, is the detection and location of rail vehicles moving on the railway infrastructure. The ability to determine the precise location of a rail vehicle is a key element in the reliable operation of rail transport. Therefore, in the field of devices and systems for the detection and location of rail vehicles, many studies and analyzes are carried out to develop existing or create new solutions dedicated to positioning rail vehicles.
期刊介绍:
Diagnostyka – is a quarterly published by the Polish Society of Technical Diagnostics (PSTD). The journal “Diagnostyka” was established by the decision of the Presidium of Main Board of the Polish Society of Technical Diagnostics on August, 21st 2000 and replaced published since 1990 reference book of the PSTD named “Diagnosta”. In the years 2000-2003 there were issued annually two numbers of the journal, since 2004 “Diagnostyka” is issued as a quarterly. Research areas covered include: -theory of the technical diagnostics, -experimental diagnostic research of processes, objects and systems, -analytical, symptom and simulation models of technical objects, -algorithms, methods and devices for diagnosing, prognosis and genesis of condition of technical objects, -methods for detection, localization and identification of damages of technical objects, -artificial intelligence in diagnostics, neural nets, fuzzy systems, genetic algorithms, expert systems, -application of technical diagnostics, -diagnostic issues in mechanical and civil engineering, -medical and biological diagnostics with signal processing application, -structural health monitoring, -machines, -noise and vibration, -analysis of technical and civil systems.