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Hilbert transform-based frequency response function estimation from run-up response of rotors

Hilbert transform-based frequency response function estimation from run-up response of rotors Transient operating conditions such as run-up and run-down are often seen in automotive and other machines with variable speed rotating elements. To estimate the frequency response function from swept sine responses (obtained during run-up), a new approach is proposed which utilizes Hilbert transform and stationary wavelet transform. This method is an alternate tool for conventional swept sine frequency response function estimators like tracking vectors and co-quad analysers. The output from this algorithm is validated using frequency response function obtained using exact frequency response function expression and the conventional Fourier transform-based frequency response function. Both MATLAB simulations and experiments have been carried out in this study to estimate the frequency response function. Modal parameters are extracted from the frequency response function obtained using Hilbert transform. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science SAGE

Hilbert transform-based frequency response function estimation from run-up response of rotors

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Publisher
SAGE
Copyright
© IMechE 2017
ISSN
0954-4062
eISSN
2041-2983
DOI
10.1177/0954406217718218
Publisher site
See Article on Publisher Site

Abstract

Transient operating conditions such as run-up and run-down are often seen in automotive and other machines with variable speed rotating elements. To estimate the frequency response function from swept sine responses (obtained during run-up), a new approach is proposed which utilizes Hilbert transform and stationary wavelet transform. This method is an alternate tool for conventional swept sine frequency response function estimators like tracking vectors and co-quad analysers. The output from this algorithm is validated using frequency response function obtained using exact frequency response function expression and the conventional Fourier transform-based frequency response function. Both MATLAB simulations and experiments have been carried out in this study to estimate the frequency response function. Modal parameters are extracted from the frequency response function obtained using Hilbert transform.

Journal

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering ScienceSAGE

Published: Jun 1, 2018

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