Time-Variant Frequency Response Function Measurement in the Presence of Missing Data

Rik Pintelon; Diana Ugryumova; Gerd Vandersteen; Ebrahim Louarroudi; John Lataire

doi:10.1109/TIM.2017.2728218

Time-Variant Frequency Response Function Measurement in the Presence of Missing Data

Rik Pintelon, Diana Ugryumova, Gerd Vandersteen, Ebrahim Louarroudi, John Lataire

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

Missing data are an important issue in large-scale low-cost wireless sensor networks. In these measurement applications, sensor failure, data transmission errors, and data removal for saving transmission power are the main causes for the missing data. This paper studies the impact of missing data on the measurement of the time-variant frequency response function (TV-FRF) of linear time-variant systems. A nonparametric procedure for estimating the missing data and the TV-FRF is proposed. The theory is illustrated by simulations and experiments.

Original language	English
Article number	8008854
Pages (from-to)	3091-3099
Number of pages	9
Journal	IEEE Transactions on Instrumentation and Measurement
Volume	66
Issue number	11
Early online date	Aug 2017
DOIs	https://doi.org/10.1109/TIM.2017.2728218
Publication status	Published - 1 Nov 2017

Keywords

Missing data
nonparametric estimates
time-variant frequency response function (TV-FRF)
time-variant systems

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AU - Lataire, John

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Time-Variant Frequency Response Function Measurement in the Presence of Missing Data

Abstract

Keywords

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SRP19: Strategic Research Programme: Center for model-based system improvement - From Computer-Aided Engineering to Model-Aided Engineering

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Time-Variant Frequency Response Function Measurement in the Presence of Missing Data

Abstract

Keywords

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SRP19: Strategic Research Programme: Center for model-based system improvement - From Computer-Aided Engineering to Model-Aided Engineering

Cite this