Peculiarities of Vibration Signal Processing Techniques Application to Inertial Way Diagnostics

Bolshakova, Alexandra V.; Boronakhin, Alexander M.; Klionsky, Dmitry M.; Larionov, Daniil Yu.; Tkachenko, Anna N.; Shalymov, Roman V.

doi:10.1109/itqmtis58985.2023.10346425

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2024

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Cited by 2 publications

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Signal Processing Techniques from Accelerometers on Railway Transport Based on the Wavelet Transform

Boronakhin,

Bolshakova,

Klionskiy

et al. 2024

2024 Conference of Young Researchers in Electrical and Electronic Engineering (ElCon)

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Signal Processing Techniques from Accelerometers on Railway Transport Based on the Wavelet Transform

Boronakhin,

Bolshakova,

Klionskiy

et al. 2024

2024 Conference of Young Researchers in Electrical and Electronic Engineering (ElCon)

View full text Add to dashboard Cite

Techniques for Accelerometer Reading Processing on Railway Transport Using Wavelet Transform

Boronakhin,

Bolshakova,

Klionskiy

et al. 2024

Izv. vysš. učebn. zaved. Ross., Radioèlektron.

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Introduction. Safety issues of railway transport are inevitably connected with the condition of railway tracks and railway wheels. Various defects, such as irregularities of the railway track, may lead to emergencies and incidents. Therefore, it is important to measure and calculate short and impulse irregularities. A joint analysis of vibration acceleration signals is needed in order to study the types and size of railway track irregularities.Aim. Development of an algorithm for irregularity search based on accelerometer readings with the vertical measurement axis.Materials and methods. The research encompassed wavelet transformation and wavelet-based signal processing including discrete-time signal processing and continuous wavelet processing. In addition, time-frequency analysis based on Fourier transform and continuous wavelet scalogram was used. These methods provide for time-frequency localization for irregularity detection and measurement.Results. Algorithms for vibrational signal processing using the continuous and discrete-time wavelet transform are proposed. The results show that the discrete wavelet transform is effective for multiresolution and multiband analysis, and continuous wavelet transform and wavelet scalogram allows extraction of irregularities and determination of their parameters. The relative error for irregularity depth was improved by 18 %, and the absolute error for irregularity length determinations was reduced by 7 times.Conclusion. Application of the discrete Fourier transform and Fourier spectrogram provides for fine resolution in the frequency domain. However, separation of signal components in the time-frequency domain is impeded. The continuous-time wavelet transform ensures sufficient resolution in the low-frequency domain for component localization and visualization of irregularities.

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Peculiarities of Vibration Signal Processing Techniques Application to Inertial Way Diagnostics

Cited by 2 publications

References 6 publications

Signal Processing Techniques from Accelerometers on Railway Transport Based on the Wavelet Transform

Signal Processing Techniques from Accelerometers on Railway Transport Based on the Wavelet Transform

Techniques for Accelerometer Reading Processing on Railway Transport Using Wavelet Transform

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