Abstract

Purpose. The requirements for modern railroading are raising their efficiency and stability relatively to the characteristics of crossing capacity, process safety of operation technical systems, reducing the transport environmental impact, etc. Ensuring the sustainability of transportation is due to the technical reliability of infrastructure, in particular during the operation of switches or their components, park of electric motors (PEM). Improving the efficiency of these processes is impossible without the development of complex automation systems at operating the park of engineering system - SPES. The article is devoted to improving the SPES in terms of planning methods priority diagnostics and repair of PEM with the influence on the stability of the parameters of the capacity and efficiency of the transport process, various elements of the responsibility of the railway infrastructure. Sophisticated models and methods of automated process control operation of parks also have to consider a different form of a priori information about the technical condition of transport system means (statistical, fuzzy), providing the possibility of adapting the parameters of planning procedures, application of intelligent neural-fuzzy management SPES, in order to increase the stability of rail transport by switching to automated maintenance of parks ED based on the parameters of the current state. Methods. Research and development were carried out using the procedures for monitoring and diagnosis of PEM switches (model GP 0.18, GP 0.25, MSP 0.15, MSP 0.25), which were influenced by nominal workloads. Managing exploitation ED performed on the basis of individual mental models, as well as Cohen networks, which is built on the spectral characteristics of current PEM obtained by the fast Fourier transformation. While planning the PEM priority determined by analytic hierarchy process based on the parameters of crossing capacity and priority of service and repairs - on the basis of a two-stage stochastic programming model. Results. Improved methods and tools for process automation operating elements of the railway infrastructure, which take into account the current state of technical systems, as well as the different responsibilities of individual train sets sections and infrastructure to ensure the sustainability of railroading. Scientific novelty. It has developed the models and methods of diagnosis and planning of priority repairs of PEM considering the influence on the stability of the parameters of the capacity and efficiency of the transport process, various elements of the responsibility of the railway infrastructure, ensuring the stability of railroading, taking into account the risk of failure. The practical significance. The results of development and research allow the transition from a standard method for servicing technical systems based on the parameters of the current state. It makes the possibility of increasing the reliability of the technical infrastructure and the sustainability of railroading.

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