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Automated Self-trained System of Functional Control and State Detection of Railway Transport Nodes

Akhmetov Bakhytzhan, Lakhno Valeriy, Oralbekova Ayaulym, Kaskatayev Zhanat, Mussayeva Gulmira

International Journal of Electronics and Telecommunications

2019

Vol. 65, No. 3

491--496

Automation of data processing of contactless diagnostics (detection) of the technical condition of the majority of nodes and aggregates of railway transport (RWT) minimizes the damage from failures of these systems in operating modes. This becomes possible due to the rapid detection of serious defects at the stage of their origin. Basically, in practice, the control of the technical condition of the nodes and aggregates of the RWT is carried out during scheduled repairs. It is not always possible to identify incipient defects. Consequently, it is not always possible to warn personnel (machinists, repairmen, etc.) of significant damage to the RWT systems until their complete failure. The difficulties of obtaining diagnostic information is that there is interdependence between the main nodes of the RWT. This means that if physical damage occurs at any of the RWT nodes, in other nodes there can also occur malfunctions. As the main way to improve the efficiency of state detection of the nodes and aggregates of RWT, we see the direction of giving the adaptability property for an automated data processing system from various contactless diagnostic information removal systems. The global purpose can be achieved, in particular, through the use of machine learning methods and failure recognition (recognition objects). In order to improve the operational reliability and service life of the main nodes and aggregates of RWT, there are proposed an appropriate model and algorithm of machine learning of the operator control system of nodes and aggregates. It is proposed to use the Shannon normalized entropy measure and the Kullback-Leibler distance information criterion as a criterion of the learning effectiveness of the automated detection system and operator node state control of RWT. The article describes the application of the proposed method on the example of an automatic detection system (ADS) of the state of a traction motor of an electric locomotive. There are given the test data of the model and algorithm in the MATLAB environment.

Analiza właściwości funkcjonalno-diagnostycznych urządzeń srk

Drózd P.

Prace Naukowe Politechniki Warszawskiej. Transport

2016

z. 113

121--130

Artykuł przedstawia zagadnienie kontroli funkcjonowania urządzeń srk. Zaprezentowano ogólną strukturę urządzeń srk. Wykonano analizę funkcjonowania systemu podczas realizacji zadania i określono możliwe stany zdatności funkcjonalnej urządzeń. Zaprezentowano model kontroli funkcjonowania systemu podczas jego użytkowania i dodatkowych testów funkcjonalnych. Wyniki tych prac będą podstawą opracowania modelu funkcjonalno-diagnostycznego urządzeń srk niezbędnego do generowania testów i określania stanu urządzeń sterowania ruchem kolejowym.

The article presents the issue of functional control of railway traffic control devices. Was described a general structure of railway traffic control devices. Analysis of system functioning during performance of a task was made and was defined the possible fitness functional states of devices. Model of functional control of the system during exploitation and additional functional tests has been made. The results of this work will be the basis of a functional and diagnostic model necessary to generate the test and determining the state of railway traffic control devices.