Imperial College London

DrChristophSchwingshackl

Faculty of EngineeringDepartment of Mechanical Engineering

Reader in Mechanical Engineering
 
 
 
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Contact

 

+44 (0)20 7594 1920c.schwingshackl Website

 
 
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Location

 

559City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Ondra:2019:10.1016/j.ymssp.2018.05.010,
author = {Ondra, V and Sever, IA and Schwingshackl, CW},
doi = {10.1016/j.ymssp.2018.05.010},
journal = {Mechanical Systems and Signal Processing},
pages = {239--258},
title = {A method for non-parametric identification of non-linear vibration systems with asymmetric restoring forces from a resonant decay response},
url = {http://dx.doi.org/10.1016/j.ymssp.2018.05.010},
volume = {114},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - © 2018 Elsevier Ltd A method for non-parametric identification of systems with asymmetric non-linear restoring forces is proposed in this paper. The method, named the zero-crossing method for systems with asymmetric restoring forces (ZCA), is an extension of zero-crossing methods and allows identification of backbones, damping curves and restoring elastic and dissipative forces from a resonant decay response. The validity of the proposed method is firstly demonstrated on three simulated resonant decay responses of the systems with off-centre clearance, bilinear and quadratic stiffness. Then, the method is applied to experimental data from a micro-electro-mechanical resonator in order to quantify its non-linear damping and stiffness effects. Throughout the paper the proposed method is also compared with the Hilbert vibration decomposition to demonstrate that the ZCA yields more accurate results with much less effort.
AU - Ondra,V
AU - Sever,IA
AU - Schwingshackl,CW
DO - 10.1016/j.ymssp.2018.05.010
EP - 258
PY - 2019///
SN - 0888-3270
SP - 239
TI - A method for non-parametric identification of non-linear vibration systems with asymmetric restoring forces from a resonant decay response
T2 - Mechanical Systems and Signal Processing
UR - http://dx.doi.org/10.1016/j.ymssp.2018.05.010
UR - http://hdl.handle.net/10044/1/60628
VL - 114
ER -