DocumentCode :
1737034
Title :
Self-adaptive Sensor Weighted Data Fusion in Strain Detection
Author :
Ying, Zhou ; Hongsheng, Li ; Yongzhong, Ding
Author_Institution :
Wuhan Univ. of Technol., Wuhan
fYear :
2007
Firstpage :
20180
Lastpage :
21276
Abstract :
This article describes the basic principle of multi-sensor data fusion; In view of the great span roof structure strain detection system characteristics, we has put forward the self-adaptive sensor weighted fusion algorithm, which may enhance the strain examination system effectively antijamming ability, and guarantee the strain exceptionally examines reliability and accuracy.
Keywords :
self-adjusting systems; sensor fusion; strain measurement; strain sensors; antijamming ability; self adaptive sensor; strain detection; strain examination system; weighted data fusion; Capacitive sensors; Circuits; Mean square error methods; Optical fiber sensors; Optical sensors; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Signal processing; Strain measurement; detection; self-adaptive; sensor; strain; weighted fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
Type :
conf
DOI :
10.1109/ICEMI.2007.4351203
Filename :
4351203
Link To Document :
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