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.
GlowinskiSKrzyzynskiT. Modelling of the ejection process in a symmetrical flight. J Theoret Appl Mech2013; 51: 775–785.
2.
EgerTRContrattoMSDickeyJP. Influence of driving speed, terrain, seat performance and ride control on predicted health risk based on ISO 2631-1 and EU Directive 2002/44/EC. J Low Freq Noise Vib Act Cont2011; 30(4): 291–312.
3.
KarnoppD. Analytical results for optimum actively damped suspensions under random excitation. ASME J Vib Acoust Stress Reliab1989; 111: 278–283.
4.
GoodallRMKortuümW. Active control in ground transportation – review of the state-of-the-art and future potential. Vehic Syst Dynam1983; 12: 225–257.
5.
SteinGJ. Results of investigation of an electro-pneumatic active vibration control system. Proc IMechE, Part D: J Automobile Engineering1995; 209: 227–234.
6.
BlazejewskiAGlowinskiSMaciejewskiI. The wavelet transfer function of a human body-seat system. J Low Freq Noise Vib Act Cont2018; 38: 1–9.
7.
NingDSunSZhangJ, et al.An active seat suspension design for vibration control of heavy-duty vehicles. J Low Freq Noise Vib Act Cont2016; 35(4): 264–278.
8.
GohariMTahmasebiM. Active off-road seat suspension system using intelligent active force control. J Low Freq Noise Vib Act Cont2015; 34(4): 475–490.
9.
MaciejewskiIGlowinskiSKrzyzynskiT. Active control of a seat suspension with the system adaptation to varying load mass. Mechatronics2014; 24: 1242–1253.
10.
FialhoIBalasGJ. Road adaptive active suspension design using linear parameter-varying gain-scheduling. IEEE T Cont Syst Technol2002; 10(1): 43–54.
11.
GlowinskiSBlazejewskiAKrzyzynskiT. Human gait feature detection using inertial sensors and wavelets analysis, biosystem & biorobotics. In: González-VargasJIbáñezJContreras-VidalJL, et al. (eds) Wearable robotics: challenges and trends. Cham: Springer, 2016, pp. 397–401.
12.
MaciejewskiIMeyerLKrzyzynskiT. Modelling and multi-criteria optimisation of passive seat suspension vibro-isolating properties. J Sound Vib2009; 324: 520–538.
13.
DaubechiesI. Ten lectures on wavelets. CBMS NSF Reg Conf Seri Appl Math1992; 61: 1–350.
14.
NasonGPSapatinasT. Wavelet packet transfer function modelling of nonstationary time series. Stat Comput2002; 12(1): 45–56.
15.
BlazejewskiAKoziolPLuczakM. Acoustical analysis of enclosure as initial approach to vehicle induced noise analysis comparatively using STFT and wavelets. Arch Acoust2014; 39: 385–394.
16.
UhlTKlepkaA. Application of wavelet transform to identification of modal parameters of nonstationary systems. J Theoret Appl Mech2005; 43(2): 277–296.
17.
HryniewiczZKoziołP. Wavelet-based solution for vibrations of a beam on a nonlinear viscoelastic foundation due to moving load. J Theoret Appl Mech2013; 51(1): 215–224.
18.
GoupillaudPGrossmanAMorletJ. Cycle-octave and related transforms in seismic signal analysis. Geoexploration1984; 23: 85–102.