Alexandra V. Bolshakova
@etu.ru
Saint Petersburg Electrotechnical University "LETI"
Scopus Publications
Scopus Publications
Alexander M. Boronakhin, Alexandra V. Bolshakova, Dmitry M. Klionskiy, Daniil Yu. Larionov, and Roman V. Shalymov
IEEE
Railway transport safety is directly connected with the condition of railway tracks and also the condition of railway wheels’ surface. One of the main reasons for abnormal situations on railways are various defects such as irregularities of a railway track. Thus, we need to estimate the length of short and impulse irregularities. It is also important to carry out joint analysis of vibration acceleration signals recorded by accelerometers in order to study types and sizes of railway track irregularities.
Alexandra V. Bolshakova, Alexander M. Boronakhin, Daniil Yu. Larionov, Anna N. Tkachenko, Roman V. Shalymov, and Eduard D. Churyaev
IEEE
Inertial method of railway track diagnostics involves detection and measurement of the defects' parameters based on the readings of accelerometers installed on the axle boxes of the car bogie. During the train's movement the car body and the track constitute a single oscillatory system; thus, an accelerometer corresponding to a certain wheel of the bogie measures both the accelerations caused by immediate impact suffered by that wheel, and the echoes from the impacts on other elements of the system. This contributes to the error in measuring the parameters of defects and can lead to false positive errors during their detection. Present paper considers an approach to determining the energy redistribution within the system, as well as taking this redistribution into account during defect detection.
Alexandra V. Bolshakova, Alexander M. Boronakhin, Dmitry M. Klionsky, Daniil Yu. Larionov, Anna N. Tkachenko, and Roman V. Shalymov
IEEE
Analysis of vibration signals that are excited when a train moves over rail irregularities requires special processing in the time, frequency, and time-frequency domains. This is important for detecting those rail irregularities and obtaining their parameters, and also for accurate isolation of low-frequency components of the studied signal. These low-frequency components have different origin. Application of the continuous wavelet transform based on the fast Fourier transform allows us to separate low-frequency components from high-frequency ones, which makes it possible to reconstruct the vertical movement of the car's wheel. Discrete-time wavelet transform is efficient for signal reconstruction and denoising. On the other hand, spectrogram based on the Fourier transform helps to locate harmonic components and obtain the time-frequency representation of the original signal. In the present paper we study techniques of vibration signal processing and make conclusions regarding their application.
Alexandra Bolshakova, Liudmila Podgornaya, Anna Tkachenko, Daniil Larionov, Roman Shalymov, Alexander Boronakhin, and Evgenii Bokhman
IEEE
The present article is concerned with analysis of interaction dynamics between the rail car wheels and the rails, based on measurements acquired from inertial microelectromechanical sensors installed on the axle boxes of the cars bogie. The efficiency of using Continuous Wavelet Transform for this purpose is shown. Analysis results for the case of passing two types of rail joints are presented.
Alexandra V. Bolshakova, Alexander M. Boronakhin, Dmitry M. Klionsky, Daniil Yu. Larionov, Anna N. Tkachenko, and Roman V. Shalymov
IEEE
The paper analyzes the use of small-sized inertial measuring systems, the sensors of which are installed in the immediate vicinity of the wheel/rail contact zone. This allows to combine the means of controlling oscillatory (mechanical) and vibrational (acoustic) effects caused by the passage of defective track elements into one device. The mechanical and acoustic properties of the car/rail track system are analyzed. The methods of kinematic analysis and vibroacoustics, which are applicable for monitoring the state of structural elements of the car and rail track, are considered.
Alexandra Bolshakova, Liudmila Podgornaya, Anna Tkachenko, Daniil Larionov, Roman Shalymov, Alexander Boronakhin, and Evgenii Bokhman
IEEE
The paper considers a method for diagnosing the state of the rolling surfaces of rails using inertial micromechanical sensors installed on the car’s axle boxes. Applicability of such systems for detection of long-wavelength rail irregularities (i.e. not only impacts) is analyzed. Sensor requirements and approaches to data processing are given.
Nguyen Van Phap, Alexandra V. Bolshakova, Alexandr M. Boronachin, Liudmila N. Podgornaya, and Roman V. Shalymov
IEEE
Measurements acquired from the inertial sensors installed on axle boxes of a railcar do not describe just the rail flaws; these measurements also contain signals caused by the wheel defects, hanging sleepers, and other periodic effects. It is necessary to separate the part of the signal related to the defect from what is caused by other effects in order to more accurately determine the defect’s parameters. The vibration analysis of the system must be performed for this purpose. The article is devoted to the influence of parametric, periodic, and random excitation on the car-rail oscillatory system.
Alexandra V. Bolshakova, Alexandr M. Boronakhin, Daniil Yu. Larionov, Anna N. Tkachenko, and Roman V. Shalymov
IEEE
Present paper discusses the possibility of implementing a distributed system for monitoring the geomechanical state of the roadbed and the stress-strain state of structures adjacent to the railway track area, based on the integrated application of the latest achievements in inertial technologies, seismometry, and geophysics.
Alexandra V. Bolshakova, Alexandr M. Boronachin, Daniil Yu. Larionov, Liudmila N. Podgornaya, and Roman V. Shalymov
IEEE
In the field of developing unmanned vehicles of almost all types, in the area of providing the driving control system with measurement information, most attention is nowadays paid to the development of specialized computer vision systems. That notwithstanding, in this work, a broader view of the problem of removing the driver from the control loop is proposed. Indeed, in addition to visual information, he has following data sources at his disposal: sensation of shocks, vibrations and oscillations of the car's body; sensing accelerations during speedup, slowdown and passage of curved sections; hearing noises, creaks, wheels rattling, etc. Using the entirety of the information available to the traditional human driver requires a deep study of interactions in the “moving object - motion environment” system (including the influence of the changing load and the displacement of the center of mass); selecting appropriate sensor hardware; and accommodating for these interactions in the algorithmic support.
A. M. Boronakhin, D. Yu. Larionov, L. N. Podgornaya, R. V. Shalymov, and A. V. Bolshakova
Optica Publishing Group
In order to measure the geometrical parameters of railroad track, one needs to know the position of the heads of the left and right rails—in particular, the point of the rail 14 mm below its rolling surface. The use of triangulation laser scanners to carry out this task involves the problem of intense noise in the resulting images as a consequence of sunlight and the “moon-glade” effect on the rail’s smooth surface. An approach to the measurement of the railroad-track parameters is proposed, based on the recognition of images under railroad conditions and using supplementary structural and algorithmic resources, including the extraction of information from other sensors of the system (strapdown inertial navigation system, odometer). The methods proposed in this paper, in combination with the processing algorithm derived here, make it possible to determine the positioning of the rails to within 0.1 mm.
Alexandra V. Bolshakova, Alexander M. Boronakhin, Daniil Yu. Larionov, Liudmila N. Podgornaya, and Roman V. Shalymov
IEEE
The use of mobile systems on plying trains for monitoring the condition of the rail track is a promising way to ensure the safety of rail transportation. An example of such system is InerTrack, developed by the team of the LINS dpt. of SPbGETU "LETI" and OOO "Inertech". It consists of four inertial micromechanical modules which are mounted on the axle boxes of the car’s wheels and measure their kinematic characteristics. Analyzing their measurements during the car’s movement, one can diagnose the surface flaws of the rails. However, massive installation of such systems on regularly travelling trains requires lowering the cost of these systems.The article is devoted to the analysis of the measurements acquired from an inertial micromechanical module in the presence of impact actions. Based on this analysis, recommendations are given on the layout of the InerTrack system with a downsized composition (and hence lower cost).
Natalia V. Romantsova, Ekaterina N. Zhdanova, Daniil Yu. Larionov, and Alexandra V. Bolshakova
IEEE
The paper describes the combustion process. An information-measuring system for monitoring important technological processes is described, such as allows to measure and control the characteristics, track the dynamics of changes in important indicators and give control signals to avoid emergencies. The necessity of monitoring system which provides operational control over important parameters and a timely response to deviations of indicators from the normal operating cycle in real time is explained. Also the principle of functioning of the layout of the system for measuring, monitoring and management the oil sludge afterburner is consider. The state graph of the layout of the control system, measurement and management of the “waste loading unit” is regard. Shows the space of possible situations: of recommended parameters to which the system should strive. The algorithm of automatic control of the process of afterburner is presented. Formulas are given for calculating the influence intensity coefficient of the incinerator on the railway.
Ekaterina N. Zhdanova, Natalia V. Romantsova, Daniil Yu. Larionov, and Alexandra V. Bolshakova
IEEE
The paper provides a description of the multiphysical system for operational monitoring of the state of the railway track. The transport system and its infrastructure are described, the idea of possible dangerous situations in the rapid development of the transport system is given. The description of central (CS), that formation of the reference model of the linear section of the railway track (RMLS) and its transfer to the SS, transmits to the SS the locomotive movement routes as a sequential set of linear sections, access to the data of the SS with the ability to visualize the received information in the geographic information system and is the only one in the structure of a distributed information system for processing data on defects in a railway track; stationary (SS) which receives and accumulates data on defects in the railway track, creates a working RMLS based on averaged data received from the OSs, is responsible for the transmission of the following routes to locomotives, is installed at the railway station and processes the state data of the linear section obtained by contact methods, estimates the degree of impact on the linear section of adjacent communications and industrial objects, from the point of view of traffic safety; and onboard (OS) subsystems which contains: RMLS relevant at the time the locomotive enters a given route, information necessary for communication with SSs located on the locomotive's circulation section, geographic information system, base of normative values, data exchange program and located on the locomotive is present. A method of forming assessments of the state of the railway line and adjacent territories to increase the level of environmental and transport safety. Railway track state assessment, territory state assessment, evaluation of consequences of emergency situations, assessment of the impact of the railway track on the adjacent territory is described for analysis results of the monitoring of defects in the railway track, characteristics of technogenic objects, natural and technogenic situations of adjacent territories.
Alexandra V. Bolshakova, Alexandr M. Boronachin, Daniil Yu. Larionov, Liudmila N. Podgornaya, and Roman V. Shalymov
IEEE