NDLI: Self-calibration level fusion method based on distribution diagrams and grouping estimation algorithm

Content Provider	IEEE Xplore Digital Library
Author	Yuanze Liu Jiawei Zhang Mingbao Li
Copyright Year	2010
Description	Author affiliation: School of civil Engineering, Northeast Forestry University, Harbin 150040, Heilongjiang Province, China (Mingbao Li) \|\| School of Electromechanical Engineering, Northeast Forestry University, Harbin 150040, Heilongjiang Province, China (Yuanze Liu; Jiawei Zhang)
Abstract	Due to the original data from homogenous sensor interfered by all kinds of noise signals in the actual industry process, it is essentially to eliminate the false senor or information. Sensor fusion method allows extracting information from several different sources to integrate them into single signal or information. The architecture of multi-sensor data fusion for detecting system in the industry process is presented in this paper firstly. According to the functional characteristic of self-calibration layer for the operating homogenous sensors, the distribution diagrams and grouping estimation method is adopted without any prior information from each sensor. Numerical studies show that using distribution diagrams and grouping estimation can eliminate successfully the missing errors of multiple information acquisition. The distribution diagrams and grouping estimation method and arithmetic averaging method are investigated respectively. Comparison the simulation results, the former can supply reliable data even if single sensor or several sensors are failed, with more precise and accuracy measured value than the arithmetic averaging method. Data fusion method in the self-calibration layer can eliminate uncertainty factors effectively. Therefore, it can improve the system performance in adaptability and robust.
Starting Page	6932
Ending Page	6937
File Size	730404
Page Count	6
File Format	PDF
ISBN	9781424467129
e-ISBN	9781424467129
DOI	10.1109/WCICA.2010.5554230
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature measurement Estimation Measurement uncertainty Robot sensing systems Industries Current measurement Accuracy self-calibration level Data Fusion distribution diagrams grouping estimation
Content Type	Text
Resource Type	Article

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