Signal Processing Techniques from Accelerometers on Railway Transport Based on the Wavelet Transform Alexander M. Boronakhin, Alexandra V. Bolshakova, Dmitry M. Klionskiy, Daniil Yu. Larionov, Roman V. Shalymov Proceedings of the 2024 Conference of Young Researchers in Electrical and Electronic Engineering Elcon 2024, 2024 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.
Peculiarities of Vibration Signal Processing Techniques Application to Inertial Way Diagnostics Alexandra V. Bolshakova, Alexander M. Boronakhin, Dmitry M. Klionsky, Daniil Yu. Larionov, Anna N. Tkachenko, et al. Proceedings of the 2023 International Conference Quality Management Transport and Information Security Information Technologies IT and Qm and is 2023, 2023 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.
Cross-Coupling Analysis of Accelerations of the Axle Boxes of the Car Bogie Alexandra V. Bolshakova, Alexander M. Boronakhin, Daniil Yu. Larionov, Anna N. Tkachenko, Roman V. Shalymov, et al. Proceedings of the 2023 International Conference Quality Management Transport and Information Security Information Technologies IT and Qm and is 2023, 2023 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.
Using Wavelet Transform to Analyze Railway Car Dynamics within Inertial Sensor Data Alexandra Bolshakova, Liudmila Podgornaya, Anna Tkachenko, Daniil Larionov, Roman Shalymov, et al. 30th Anniversary Saint Petersburg International Conference on Integrated Navigation Systems Icins 2023, 2023 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.
Railway Track Diagnostics by Combined Kinematic and Vibroacoustic Analysis Alexandra V. Bolshakova, Alexander M. Boronakhin, Dmitry M. Klionsky, Daniil Yu. Larionov, Anna N. Tkachenko, et al. Proceedings of the 2022 International Conference Quality Management Transport and Information Security Information Technologies IT and Qm and is 2022, 2022 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.
The Possibility of Using Inertial Sensor Data for Detection of Long Wavelength Rail Irregularities Alexandra Bolshakova, Liudmila Podgornaya, Anna Tkachenko, Daniil Larionov, Roman Shalymov, et al. 29th Saint Petersburg International Conference on Integrated Navigation Systems Icins 2022, 2022 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.
Specific Features of Using Micromechanical Accelerometers for Monitoring Short and Impact Irregularities of the Railway Track 28th Saint Petersburg International Conference on Integrated Navigation Systems Icins 2021, 2021
Vibration Analysis of a Railcar/Rail System using Inertial Sensors Mounted on Axle Boxes Nguyen Van Phap, Alexandra V. Bolshakova, Alexandr M. Boronachin, Liudmila N. Podgornaya, Roman V. Shalymov Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering Elconrus 2021, 2021 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.
The Concept of a Distributed System for Vibration and Deformation Monitoring of the Railway Track Infrastructure and its Adjacent Objects Alexandra V. Bolshakova, Alexandr M. Boronakhin, Daniil Yu. Larionov, Anna N. Tkachenko, Roman V. Shalymov Proceedings of the 2021 IEEE International Conference Quality Management Transport and Information Security Information Technologies T and Qm and is 2021, 2021 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.
Adaptive safe and energy-efficient driving control of unmanned rail vehicles Alexandra V. Bolshakova, Alexandr M. Boronachin, Daniil Yu. Larionov, Liudmila N. Podgornaya, Roman V. Shalymov Proceedings of the 2020 IEEE International Conference Quality Management Transport and Information Security Information Technologies IT and Qm and is 2020, 2020
Embedded Multiphysical Track Diagnostic Systems for Intelligent Transport Alexandra V. Bolshakova, Alexandr M. Boronachin, Daniil Yu. Larionov, Liudmila N. Podgornaya, Roman V. Shalymov Proceedings of the 2019 IEEE International Conference Quality Management Transport and Information Security Information Technologies IT and Qm and is 2019, 2019
