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

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

Onderzoeksoutput: Poster

Samenvatting

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.
Originele taal-2English
StatusPublished - 14 mei 2018
Evenement2018 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2018 - Houston, United States
Duur: 14 mei 201817 mei 2018

Conference

Conference2018 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2018
LandUnited States
StadHouston
Periode14/05/1817/05/18

Vingerafdruk

Duik in de onderzoeksthema's van 'Time-Variant Frequency Response Function Measurement in the Presence of Missing Data'. Samen vormen ze een unieke vingerafdruk.

Citeer dit