FRF Measurements Subject to Missing Data: Quantification of Noise, Nonlinear Distortion, and Time-Varying Effects

Rik Pintelon; John Lataire; Gerd Vandersteen

doi:10.1109/TIM.2018.2883998

FRF Measurements Subject to Missing Data: Quantification of Noise, Nonlinear Distortion, and Time-Varying Effects

Rik Pintelon, John Lataire, Gerd Vandersteen

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Quantifying the level of nonlinear distortions and time-varying effects in frequency response function measurements is a first step toward the selection of an appropriate parametric model structure. In this paper, we tackle this problem in the presence of missing data, which is an important issue in large-scale low-cost wireless sensor networks. The proposed method is based on one experiment with a special class of periodic excitation signals.

Originele taal-2	English
Artikelnummer	8579212
Pagina's (van-tot)	4175-4187
Aantal pagina's	13
Tijdschrift	IEEE Transactions on Instrumentation and Measurement
Volume	68
Nummer van het tijdschrift	10
Vroegere onlinedatum	dec 2018
DOI's	https://doi.org/10.1109/TIM.2018.2883998
Status	Published - okt 2019

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10.1109/TIM.2018.2883998

TV_FRF_MissingData_per_FinalVersionSubmitted manuscript, 1,65 MB

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1 Actief

SRP19: Centrum voor modelgebaseerde systeemverbetering - van computer-gerichte engineering tot model-gerichte engineering
Vandersteen, G., Rolain, Y., Wambacq, P., Kuijk, M., Vandersteen, G., Rolain, Y., Wambacq, P. & Kuijk, M.
1/11/12 → 31/10/24
Project: Fundamenteel
IOFACC6: IOF Accelerator: een generieke toolbox voor de betrouwbare voorspelling van levensduur en veroudering in elektrochemische systemen
Hubin, A., Terryn, H., De Graeve, I., Van Ingelgem, Y., Van Assche, G., Pintelon, R., Van Mierlo, J. & Berecibar, M.
21/12/18 → 20/12/21
Project: Toegepast

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abstract = "Quantifying the level of nonlinear distortions and time-varying effects in frequency response function measurements is a first step toward the selection of an appropriate parametric model structure. In this paper, we tackle this problem in the presence of missing data, which is an important issue in large-scale low-cost wireless sensor networks. The proposed method is based on one experiment with a special class of periodic excitation signals.",

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KW - Estimation

KW - time-varying systems.

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KW - Nonlinear distortion

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FRF Measurements Subject to Missing Data: Quantification of Noise, Nonlinear Distortion, and Time-Varying Effects

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Projecten

SRP19: Centrum voor modelgebaseerde systeemverbetering - van computer-gerichte engineering tot model-gerichte engineering

IOFACC6: IOF Accelerator: een generieke toolbox voor de betrouwbare voorspelling van levensduur en veroudering in elektrochemische systemen

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