The short-time iterative adaptive approach : an effective analysis tool for complex non-stationary vibrations
Peeters, C. ; Jakobsson, A. LU
; Antoni, J.
and Helsen, J.
(2022)
30th International Conference on Noise and Vibration Engineering, ISMA 2022 and 9th International Conference on Uncertainty in Structural Dynamics, USD 2022
In Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics
p.628-638
- Abstract
The short-time iterative adaptive approach is a spectral estimation alternative to the short-time Fourier transform for non-stationary vibration analysis. This technique offers a reduction in leakage effects and a higher resolution in exchange for a higher computational complexity. The short-time iterative adaptive approach can be summarized as a high-resolution data-dependent approach which has been briefly investigated in the past for passive sensing, radar applications, and human gait analysis. However, these applications involve vastly different signal complexities when compared to vibrations measured on complex machinery. This work analyses the performance of the short-time iterative adaptive approach on complex vibration signals... (More)
The short-time iterative adaptive approach is a spectral estimation alternative to the short-time Fourier transform for non-stationary vibration analysis. This technique offers a reduction in leakage effects and a higher resolution in exchange for a higher computational complexity. The short-time iterative adaptive approach can be summarized as a high-resolution data-dependent approach which has been briefly investigated in the past for passive sensing, radar applications, and human gait analysis. However, these applications involve vastly different signal complexities when compared to vibrations measured on complex machinery. This work analyses the performance of the short-time iterative adaptive approach on complex vibration signals and explores its capability in improving methods that are based on post-processing the time-frequency representation of a vibration signal. This potential improvement is evaluated using the multi-order probabilistic approach on both simulated and experimental vibration data to estimate instantaneous angular speed.
(Less)
- author
- Peeters, C.
; Jakobsson, A.
LU
; Antoni, J.
and Helsen, J.
- organization
- publishing date
- 2022
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics
- series title
- Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics
- editor
- Desmet, W. ; Pluymers, B. ; Moens, D. and Neeckx, S.
- pages
- 11 pages
- publisher
- KU Leuven, Departement Werktuigkunde
- conference name
- 30th International Conference on Noise and Vibration Engineering, ISMA 2022 and 9th International Conference on Uncertainty in Structural Dynamics, USD 2022
- conference location
- Leuven, Belgium
- conference dates
- 2022-09-12 - 2022-09-14
- external identifiers
-
- scopus:85195898077
- ISBN
- 9789082893151
- language
- English
- LU publication?
- yes
- id
- ecfe08a7-3129-4af4-9bc3-0a3e4a41a3b1
- date added to LUP
- 2024-10-14 14:44:05
- date last changed
- 2024-10-15 10:15:56
@inproceedings{ecfe08a7-3129-4af4-9bc3-0a3e4a41a3b1,
abstract = {{<p>The short-time iterative adaptive approach is a spectral estimation alternative to the short-time Fourier transform for non-stationary vibration analysis. This technique offers a reduction in leakage effects and a higher resolution in exchange for a higher computational complexity. The short-time iterative adaptive approach can be summarized as a high-resolution data-dependent approach which has been briefly investigated in the past for passive sensing, radar applications, and human gait analysis. However, these applications involve vastly different signal complexities when compared to vibrations measured on complex machinery. This work analyses the performance of the short-time iterative adaptive approach on complex vibration signals and explores its capability in improving methods that are based on post-processing the time-frequency representation of a vibration signal. This potential improvement is evaluated using the multi-order probabilistic approach on both simulated and experimental vibration data to estimate instantaneous angular speed.</p>}},
author = {{Peeters, C. and Jakobsson, A. and Antoni, J. and Helsen, J.}},
booktitle = {{Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics}},
editor = {{Desmet, W. and Pluymers, B. and Moens, D. and Neeckx, S.}},
isbn = {{9789082893151}},
language = {{eng}},
pages = {{628--638}},
publisher = {{KU Leuven, Departement Werktuigkunde}},
series = {{Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics}},
title = {{The short-time iterative adaptive approach : an effective analysis tool for complex non-stationary vibrations}},
year = {{2022}},
}