The Use of Embedded Diagnostic Systems for Ensuring Safe and Energy-efficient Driving of a Locomotive
Autor: | Daniil Yu. Larionov, L. N. Podgornaya, Roman V. Shalymov, Alexander M. Boronakhin |
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Rok vydání: | 2020 |
Předmět: |
0209 industrial biotechnology
Computer science business.industry Energy-efficient driving Information processing Control engineering 02 engineering and technology Diagnostic system Automation 020901 industrial engineering & automation Control system 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business Efficient energy use |
Zdroj: | 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). |
Popis: | The current stage of development of locomotive control systems can be described in terms of omnipresent automation of all involved processes. However, time-sensitive adaptation of the control system to the current state of the rail track and the locomotive itself is impossible without the use of an information-measuring system integrated into its composition. Each locomotive equipped with such a system, in this case, becomes not only an object of management and control, but also a source of up-to-date information on the state of the rail track. This article is devoted to the possibilities of using such built-in diagnostic systems to solve the problems of ensuring safe and energy-efficient driving of locomotives, by taking the state of the rolling stock and rail track into account. Criteria for choosing the speed mode, as well as determining the composition, location and basic principles of information processing in an embedded diagnostic system, are considered. |
Databáze: | OpenAIRE |
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