Data Fusion Methods based on Fuzzy Theory for Wind Speed Measurement using Ultrasonic Transducers

In this work, a wind speed measurement model based on fuzzy data fusion of the time-of flight (ToF) information is presented. This information is obtained through threshold detection (TH) and phase difference (PD) techniques. Fuzzy membership functions are derived from ToF measurement values and rep...

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Bibliographic Details
Main Authors: Villanueva, J.M.M., Catunda, S.Y.C., Tanscheit, R.
Format: Conference Proceeding
Language:English
Subjects:
Attenuation measurement
data fusion
fuzzy set theory
Instrumentation and measurement
Measurement uncertainty
Noise measurement
Phase detection
Signal to noise ratio
time-of-flight
Ultrasonic transducers
Ultrasonic variables measurement
uncertainties
Velocity measurement
Wind speed
Wind speed measurement
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Description
Summary:In this work, a wind speed measurement model based on fuzzy data fusion of the time-of flight (ToF) information is presented. This information is obtained through threshold detection (TH) and phase difference (PD) techniques. Fuzzy membership functions are derived from ToF measurement values and represent measured values and their uncertainties. Two data fusion methods are presented based on the compatibility relationship between elements to be combined and using weights defined by the OWA (Order Weighted Average) operator. Uncertainty analysis the TH and PD techniques is carried out by determining the uncertainty associated to the ToF measurement. ToF data fusion values are determined considering several measured values using the TH and PD techniques.
ISSN:1091-5281
DOI:10.1109/IMTC.2008.4547210