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

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

Research output: Unpublished contribution to conferencePoster

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 languageEnglish
Publication statusPublished - 14 May 2018
Event2018 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2018 - Houston, United States
Duration: 14 May 201817 May 2018

Conference

Conference2018 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2018
Country/TerritoryUnited States
CityHouston
Period14/05/1817/05/18

Keywords

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

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