Diagnostics of Track Infrastructure as Part of the Digitisation of Russian Railways

2020 ◽  
Vol 64 (188) ◽  
pp. 149-160
Author(s):  
Janusz Poliński
Keyword(s):  
Diagnostic Tools ◽  
Gradual Transition ◽  
Technical Diagnostics ◽  
Strategic Development ◽  
Railway Infrastructure ◽  
Monitoring And Forecasting ◽  
Infrastructure Maintenance ◽  
Result Analysis ◽  
Railway Maintenance ◽  
Condition Diagnosis

Technical diagnostics is an integral part of the railway maintenance process. Through timely maintenance, in addition to ensuring the safety, functional and technical reliability of the infrastructure, maintenance costs are reduced and downtime losses, due to failures or premature repair requests, are eliminated or reduced. The track infrastructure diagnostic tools have evolved. This is related to, among others, the miniaturisation of instruments, reading accuracy during motion, as well as upgraded measurement automation and result analysis. Currently, data obtained from multifunctional diagnostic tools is the basis for the developed Russian railway infrastructure maintenance and operation digital model. The strategic development of mobile diagnostic labs is the gradual transition to solutions with advanced digital analysis, supported by artificial intelligence, monitoring and forecasting. The article presents the development of mobile labs for the railroad infrastructure condition diagnosis up to the current solutions, in which measurements take place without human intervention and the obtained information is transmitted in real time to the analysis and decision centres. Keywords: rail transport, measuring wagons, digitisation of railways, Russian railways

scholarly journals Integration of Control and Monitoring Systems

2020 ◽  
Vol 18 (1) ◽  
pp. 146-157
Author(s):  
D. V. Efanov
Keyword(s):  
Control Systems ◽  
Diagnostic Information ◽  
Diagnostic Tools ◽  
Monitoring Systems ◽  
Technical Diagnostics ◽  
Monitoring And Control ◽  
Distributed Sensors ◽  
Diagnostic Parameters ◽  
Railway Infrastructure ◽  
And Control

Stationary systems for monitoring devices of train traffic control are currently being implemented as external means of technical diagnostics and are located mainly centrally. The set of diagnostic parameters is scarce, and most measurements are indirect. This, ultimately, leads to low efficiency of monitoring systems, and the share of useful information from the total amount of data according to experts does not exceed 5 %. The development of monitoring technologies should follow the path of integration of measurement and control functions. The objective of the work is to draw the attention of the scientific community to the principles of monitoring and control systems implementation and the transition from their disunity to integration. Using methods of technical diagnostics and monitoring, it is proposed to switch to more advanced control systems with built-in means of troubleshooting and monitoring. The author has proposed the concept of integrated technical diagnostic tools with object controllers in the form of removable monitoring modules that transmit data along dedicated diagnostic transmission paths. Depending on the geographical location of the controller (centralized at the control station or decentralized near the controlled object), a set of diagnostic parameters is determined and a choice of diagnostic information processing methods is carried out. With decentralized location of controllers, the diagnostic modules can transmit diagnostic information from external and distributed sensors at railway infrastructure facilities. Implementation of the presented concept will allow receiving a much larger amount of initial data for operation of monitoring systems, including transition to obtaining digital twins of railway infrastructure facilities. In a broader sense, when organizing monitoring systems, it is necessary to focus not only on railway automation, but also pay attention to other infrastructure facilities serviced by personnel of adjacent sectors. Since all objects function together, such an approach to organization of monitoring will improve quality of diagnosis and prognosis, as well as provide an opportunity to assess the residual resource of technical objects.

scholarly journals IMPROVING THE EFFICIENCY OF THE PROCESS OF TECHNICAL OPERATION OF VEHICLES BY USING THE DISTANCE DIAGNOSTIC METHOD

2019 ◽  
Vol 22 (6) ◽  
pp. 6-13 ◽  
Author(s):  
E. V. Ageeva ◽  
B. N. Sabelnikov ◽  
A. V. Shcherbakov ◽  
A. I. Pykhtin
Keyword(s):  
Motor Vehicle ◽  
Operation Mode ◽  
Significant Proportion ◽  
Road Transport ◽  
Spare Parts ◽  
Optimal Operation ◽  
Diagnostic Tools ◽  
Technical Diagnostics ◽  
Causes Of Errors ◽  
Technical Operation

The current economic situation in the global fuel market leads to the fact that there is a rise in the cost of operating vehicles. All this makes the owners of such vehicles pay close attention to their optimal operation mode, which primarily depends on competent diagnosis of its components. Saving fuel-operating resources of a modern car directly depends on optimally adjusted parameters of operation of all components and assemblies of a car. The purpose of this work was to increase the efficiency of the process of technical operation of vehicles through the use of the method of remote diagnostics on the example of LLC POGA-1. The practice of using diagnostic tools demonstrates the possibilities of reducing operating costs. This is achieved due to an increase in the resources actually used, a decrease in the number of repairs and the saving of spare parts costs. Over the past years in the Russian Federation has been actively developing the field of freight. The largest share falls on road transport (67.7%). A significant proportion of the country's truck fleet is used as a commercial vehicle, which significantly complicates the procedure for timely diagnosis. Thus, in the event of a malfunction or error in the operation of a motor vehicle, the vehicle can be on a flight and there will not be a specialized service station within range of technical diagnostics of the truck to identify the causes of errors and / or malfunctions. The established problem finds its solution in the application of the method of remote diagnosis of commercial vehicles straight from the TO center, which is equipped with the necessary complex for diagnosing.

The Operation Monitoring Condition of the Production Machinery and Facilities Using the Tools of Technical Diagnostics

2013 ◽  
Vol 308 ◽  
pp. 105-109 ◽  
Author(s):  
Stanislava Šoltésová ◽  
Petr Baron
Keyword(s):  
Professional Practice ◽  
Main Tool ◽  
Diagnostic Tools ◽  
Technical Diagnostics ◽  
Effective Management ◽  
New Methods ◽  
Operation And Maintenance ◽  
Measurement Results ◽  
Reliability Of Measurement Results ◽  
Monitoring Behavior

Technical diagnostics is currently the most important factor of reliability, dealing with forms of disorder manifestation, developing of disorders, their detection and working principles. As tool it has great value in operation and maintenance of facilities. It denotes great interest not only in scientific sphere but also in sphere of results application in the new developing methods and their using in professional practice. Using methods of technical diagnostics taking into account the reliability of measurement results both with new methods IT is one of the main tool for effective management of facilities, elimination of unacceptable conditions and other aspects. The article describes the application of technical and diagnostic tools on workplaces for monitoring behavior of the production machines and facilities.

scholarly journals Research on the application of BDS/GIS/RS technology in the high speed railway infrastructure maintenance

2021 ◽  
Vol 783 (1) ◽  
pp. 012168
Author(s):  
Jianfeng Yang ◽  
Xuejiao Bai ◽  
Zhuoxin Zhang ◽  
Meihao Yang ◽  
Peifen Pan ◽  
...  
Keyword(s):  
High Speed ◽  
High Speed Railway ◽  
Railway Infrastructure ◽  
Infrastructure Maintenance

scholarly journals Model for Railway Infrastructure Management Organization

1970 ◽  
Vol 24 (2) ◽  
pp. 99-107
Author(s):  
Gordan Stojić ◽  
Slavko Vesković ◽  
Ilija Tanackov ◽  
Sanjin Milinković
Keyword(s):  
Hybrid Model ◽  
Infrastructure Management ◽  
Train Station ◽  
Railway Company ◽  
Railway Systems ◽  
Railway Traffic ◽  
Railway Infrastructure ◽  
Rail Infrastructure ◽  
Management Modes ◽  
Infrastructure Maintenance

The provision of appropriate quality rail services has an important role in terms of railway infrastructure: quality of infrastructure maintenance, regulation of railway traffic, line capacity, speed, safety, train station organization, the allowable lines load and other infrastructure parameters.The analysis of experiences in transforming the railway systems points to the conclusion that there is no unique solution in terms of choice for institutional rail infrastructure management modes, although more than nineteen years have passed from the beginning of the implementation of the Directive 91/440/EEC. Depending on the approach to the process of restructuring the national railway company, adopted regulations and caution in its implementation, the existence or absence of a clearly defined transport strategy, the willingness to liberalize the transport market, there are several different ways for institutional management of railway infrastructure.A hybrid model for selection of modes of institutional rail infrastructure management was developed based on the theory of artificial intelligence, theory of fuzzy sets and theory of multicriteria optimization.KEY WORDSmanagement, railway infrastructure, organizational structure, hybrid model

Methodology for synthesis of neural network diagnostic models of complex technical objects

2020 ◽  
Vol 6 (4) ◽  
pp. 466-483
Author(s):  
V. V. Grachev ◽  
◽  
A. V. Grishchenko ◽  
V. A. Kruchek ◽  
F. Yu. Bazilevsky ◽  
...  
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Test Sample ◽  
Learning Problems ◽  
Current Status ◽  
Design Stage ◽  
Diagnostic Tools ◽  
Diagnostic Model ◽  
Technical Diagnostics ◽  
Diagnostic Models

Despite the vast experience of using the neural networks for solving various machine learning problems, the numerous attempts to use them in technical diagnostics have not yet led to complete solutions so far (with rare exceptions). The reason is the specific nature of technical diagnostics that distinguishes such tasks from traditional machine learning problems. Having analyzed these specific features, the authors propose an approach to diagnosing complex technical objects that is focused on the use in built-in diagnostics systems and is based on the neural network reference diagnostic models of functionally isolated nodes and assemblies. The article describes the methodology for the synthesis of such models, their training on the data obtained by monitoring the object being tested using built-in diagnostic tools, determining the permissible response errors, and adapting to the current status of the object. The fuzzification of the diagnostic model results using the test sample proposed in the article makes it possible to standardize the approach to diagnosing complex technical objects designed for various purposes. The use of D. Trigg’s tracking control signal proposed by the authors to monitor regression residuals during the learning increases the training quality and generalization ability of models. The value of this signal determined by the model run on a test sample is an additional informative diagnostic parameter that increases the accuracy of classifying the status of the object under test. The proposed methodology applied at the complex technical object design stage allows optimizing the monitored parameters’ array and multiplying the efficiency of the diagnostic information recorded by the built-in diagnostic and monitoring tools.

Application of C4.5 Algorithm in Evaluation of Railway Large Maintenance Machinery Construction

2014 ◽  
Vol 496-500 ◽  
pp. 1770-1773
Author(s):  
Wei Qiao Zhu ◽  
Tian Yun Shi
Keyword(s):  
Decision Tree ◽  
Training Sample ◽  
Important Research ◽  
Machinery Construction ◽  
Railway Infrastructure ◽  
Tree Modeling ◽  
Sample Data ◽  
C4.5 Algorithm ◽  
Evaluation Decision ◽  
Infrastructure Maintenance

With improvement of the level of modernization and mechanization of railway infrastructure maintenance, Railway large maintenance machinery (RLMM) is considered to be one of the main equipment. We have accumulated large amounts of RLMM construction data. How to mine valuable information from these data has become an important research subject. The C4.5 algorithm of decision tree is a useful method of data mining and classification. The paper solves evaluation of RLMM construction problem based on the C4.5 algorithm. By means of extracting the attribute with maximum gain ratio as the root node of the decision tree from training sample data, the evaluation decision tree was constructed. The decision tree modeling of evaluation of RLMM construction was gained by the post-pruning approach. The experimental results and analysis show that this model has high precision and credibility.

scholarly journals Railway Vehicle Wheel Flat Detection with Multiple Records Using Spectral Kurtosis Analysis

2021 ◽  
Vol 11 (9) ◽  
pp. 4002
Author(s):  
Araliya Mosleh ◽  
Pedro Aires Montenegro ◽  
Pedro Alves Costa ◽  
Rui Calçada
Keyword(s):  
Detection System ◽  
Railway Vehicle ◽  
Optimal Position ◽  
Maintenance Costs ◽  
Spectral Kurtosis ◽  
Railway Systems ◽  
Railway Infrastructure ◽  
Wheel Flat ◽  
Infrastructure Maintenance ◽  
Envelope Spectrum

The gradual deterioration of train wheels can increase the risk of failure and lead to a higher rate of track deterioration, resulting in less reliable railway systems with higher maintenance costs. Early detection of potential wheel damages allows railway infrastructure managers to control railway operators, leading to lower infrastructure maintenance costs. This study focuses on identifying the type of sensors that can be adopted in a wayside monitoring system for wheel flat detection, as well as their optimal position. The study relies on a 3D numerical simulation of the train-track dynamic response to the presence of wheel flats. The shear and acceleration measurement points were defined in order to examine the sensitivity of the layout schemes not only to the type of sensors (strain gauge and accelerometer) but also to the position where they are installed. By considering the shear and accelerations evaluated in 19 positions of the track as inputs, the wheel flat was identified by the envelope spectrum approach using spectral kurtosis analysis. The influence of the type of sensors and their location on the accuracy of the wheel flat detection system is analyzed. Two types of trains were considered, namely the Alfa Pendular passenger vehicle and a freight wagon.

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