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

被引：0
|
作者：
Villanueva, Juan M. Mauricio [1 ,2 ]
Catunda, Sebastian Y. C. [2 ]
Tanscheit, Ricardo [1 ]
机构：
[1] Pontificia Univ Catolica Rio de Janeiro, Dept Engn Eletr, Rio De Janeiro, Brazil
[2] Univ Fed Maranhao, Dept Elect Engn, Sao Luis, Brazil
来源：
2008 IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1-5 | 2008年
关键词：
Wind speed measurement; ultrasonic transducers; time-of-flight; uncertainties; data fusion and fuzzy set theory;
D O I：
10.1109/IMTC.2008.4547210
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：1140 / +
页数：2
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