2020
DOI: 10.1177/0957456520924813
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Evaluation of vehicles’ active seat suspension system using wavelet analysis

Abstract: In this work, the dedicated test stand was applied to investigate the human body–vehicle seat system. The particular signals were measured by accelerometers placed on the seat and the human head. The horizontal vibrations were applied as the input to the system. As an alternative to the classical Fourier approach, the wavelet transfer function was introduced to describe the effectiveness of particular seat suspension. The human head reaction was investigated as the system output.

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Cited by 4 publications
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“…New measurement systems have shown promising results, e.g., the wavelet analysis, which has been useful for analysing physiological systems. 33 One advantage over classical sign analysis is the possibility to detect and analyse nonstationarity in signals. The technique was introduced in the early 1900s by Alfred Haar but has developed significantly since then and has become one of the most efficient tools for signal and image processing.…”
Section: Discussionmentioning
confidence: 99%
“…New measurement systems have shown promising results, e.g., the wavelet analysis, which has been useful for analysing physiological systems. 33 One advantage over classical sign analysis is the possibility to detect and analyse nonstationarity in signals. The technique was introduced in the early 1900s by Alfred Haar but has developed significantly since then and has become one of the most efficient tools for signal and image processing.…”
Section: Discussionmentioning
confidence: 99%