Calculation of ground vibration spectra from heavy military vehicles

Krylov, Victor V.; Pickup, S.; McNuff, J.

doi:10.1016/j.jsv.2010.02.014

Cited by 21 publications

(3 citation statements)

References 10 publications

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“…'Recognising' devices can measure different signals generated by the vehicle in motion: the sound emitted, base vibrations, heat, magnetic field [4][5][6][7][8]; advanced systems usually use multiple signals simultaneously [9,10]. Vehicle identification is a multi-stage process that in many cases should be carried out in real-time.…”

Section: Introductionmentioning

confidence: 99%

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Recognition of Moving Tracked and Wheeled Vehicles Based on Sound Analysis and Machine Learning Algorithms

Jakubowski

Jackowski

2021

IJAME

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The paper presents results of a preliminary study on verification of the possibility to establish simple methods to process acquired sound signals that were generated by a vehicle in motion; to determine its characteristic features for classification as a wheeled or tracked one. The analysis covered 220 signals acquired from real experiment and pre-processed with the use of power spectral density estimation (PSD) and linear prediction coding (LPC). The signal processing methods were used to generate features for which applicability in the classification process was assessed using a statistical method. The set of features was then optimised to reduce the dimensionality of data. Results of recognition obtained with the proposed non-iterative procedures for solving linearly separable problems were compared with results from standard methods, including SVM and k-NN. The developed features as well as selected methods of classification were proposed with respect to the possibility to implement them in low computational power computers for embedded applications.

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Section: Introductionmentioning

confidence: 99%

“…The idea of the non-iterative method based on linear approximation.The set uses the destination vector d and matrix U of training labelled data and can be written as in Eq (6)…”

mentioning

confidence: 99%

Recognition of Moving Tracked and Wheeled Vehicles Based on Sound Analysis and Machine Learning Algorithms

Jakubowski

Jackowski

2021

IJAME

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“…Since the generated vibrations have different frequencies, the paths of their transmission are also different. The irregularities of the surface on which a mobile machine moves cause excitations in a frequency range of 0.5-250 Hz (Krylov et al, 2010;Pytlik, 2008;Grajnert, 1997). The range includes excitations generated by the driving (combustion) engine and the displacement pump kinematics, manifesting themselves in pressure fluctuations in the machine hydraulic system.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Hydraulic Systems on the Human Being and the Environment

Stosiak

2015

jtam

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Some hazards posed by the operation of hydraulic systems, connected with low-frequency vibrations and noise are presented. Special attention is focused on infrasounds. The sources of low-frequency vibrations and noise and the ways of reducing them are indicated. Moreover, this paper deals with the effects of external mechanical vibrations on hydraulic valves. An original solution ensuring the effective reduction of vibrations and noise in a wide frequency range, i.e. a wide-band damper of pressure fluctuations, also performing the function of an acoustic filter, is proposed. The results of preliminary experimental tests of simple vibration insulators are reported. The effectiveness of the damper has been confirmed by the results of laboratory tests and tests carried out on engineering machines working in real conditions.Problems relating to the noise emitted into the environment by machines equipped with hydraulic systems are covered by Polish and EU standards and directives, e.g.

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Seismic modelling of tracked-vehicle signals for monitoring and verification

Pilch

Altmann

2021

Appl. Geophys.

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Calculation of ground vibration spectra from heavy military vehicles

Cited by 21 publications

References 10 publications

Recognition of Moving Tracked and Wheeled Vehicles Based on Sound Analysis and Machine Learning Algorithms

Recognition of Moving Tracked and Wheeled Vehicles Based on Sound Analysis and Machine Learning Algorithms

The Impact of Hydraulic Systems on the Human Being and the Environment

Seismic modelling of tracked-vehicle signals for monitoring and verification

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