Sensor Correlation and Data Fusion Theory.

1984 ◽  
Author(s):  
N. R. Sandell ◽  
Jr
Keyword(s):  
Data Fusion ◽  
Fusion Theory

scholarly journals Improvement of X-ray castings inspection reliability by using Dempster–Shafer data fusion theory

2011 ◽  
Vol 32 (2) ◽  
pp. 168-180 ◽  
Author(s):  
Ahmad Osman ◽  
Valérie Kaftandjian ◽  
Ulf Hassler
Keyword(s):  
Data Fusion ◽  
X Ray ◽  
Fusion Theory

Sensor Correlation and Data Fusion Theory.

1983 ◽  
Author(s):  
Nils R. Sandell ◽  
Jr
Keyword(s):  
Data Fusion ◽  
Fusion Theory

Application of Multi-Sensors Data Fusion Technology in the Theodolite Tracking System

2013 ◽  
Vol 392 ◽  
pp. 783-786 ◽  
Author(s):  
Bing Ge ◽  
Yi Yu
Keyword(s):  
Kalman Filter ◽  
Data Fusion ◽  
Tracking System ◽  
Light Path ◽  
Fusion Technology ◽  
Object State ◽  
Tracking Ability ◽  
Single Sensor ◽  
Fusion Theory ◽  
The Ideal

The task of multi-sensors data fusion technology is to obtain more precise estimate of object state and light path than single sensor through dealing with the information from different sensors. The paper puts forward the ideal of applying the data fusion theory to O-E theodolite system, based on the data fusion theory and Kalman filter and estimate theory. At the condition of losing and covering object, the theodolite tracks object normally. The theory of multi-sensors data fusion is validated improving acquiring and tracking ability of the theodolite effectively in practice.

Research on Smart Home Controlling System Based on Fuzzy Data Fusion Theory

2014 ◽  
Vol 602-605 ◽  
pp. 1127-1130
Author(s):  
Chao Wang ◽  
Tao Tan ◽  
Xuan Yin ◽  
Nan Chen ◽  
Tong Xin Xiao
Keyword(s):  
Data Fusion ◽  
Energy Supply ◽  
Smart Home ◽  
Fuzzy Data ◽  
Energy Preservation ◽  
Controlling System ◽  
New Energy ◽  
Fusion Theory ◽  
Test Result

To solve the unstable and insufficient energy supply problems in Smart Home Controlling System and improve the he cooperation between several sensors with different functions and parameters, a new energy supply module based on the vibration in the air and the fuzzy data fusion theory applied to the cooperation among sensors are discussed in this paper. The test result proves that this kind of module works well to provide enough energy preservation for the whole WSN system and data fusion theory enhances the credibility and preciseness of the surveillance result.

Application of fuzzy data fusion theory in fault diagnosis of rotating machinery

2018 ◽  
Vol 232 (8) ◽  
pp. 1015-1024 ◽  
Author(s):  
Hamideh Jafari ◽  
Javad Poshtan ◽  
Hamed Sadeghi
Keyword(s):  
Data Fusion ◽  
Induction Motor ◽  
High Reliability ◽  
Short Circuit ◽  
Fuzzy Integral ◽  
Outer Race ◽  
Stator Windings ◽  
Three Phase ◽  
Fusion Theory ◽  
Integral Data

In this article, the most common induction motor faults including bearing outer race defect, broken rotor bar, and short-circuit of stator windings are diagnosed with high reliability. The decentralized fuzzy-integral data fusion method is used for information fusion in feature level. In the proposed scheme, the feature vectors are constructed using signatures created by time-domain characteristics obtained from stator three-phase current measurements. Partial matching of each feature is calculated by the fuzzy c-mean classifier algorithm, and features with high diagnosis ability are fused by Choquet fuzzy integral. The technique is validated experimentally on the 4 hp induction motor of an electropump, and the results are presented.

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