DocumentCode :
1797960
Title :
A data fusion method for the attitude of the floating production storage and offloading(FPSO) single-point mooring system based on the monitoring data
Author :
Dongmei Wang ; Da Tang ; Qianjin Yue ; Zhongmin Shi ; Jiaguo Feng
Author_Institution :
Comput. Sci. & Eng, Dalian Univ. of Technol., Dalian, China
fYear :
2014
fDate :
15-17 Nov. 2014
Firstpage :
987
Lastpage :
991
Abstract :
Aiming at the sensor measurement data error of the single point mooring attitude sensors in FPSO (floating production storage and offloading) during monitoring, this paper proposes a method of information fusion based on multi-sensor redundant monitoring. The method creates the multi-body dynamic motion equation of the FPSO single-point mooring system and builds containment relationships among the redundancy data which is based on monitoring data of multi-sensors installed on FPSO hull and mooring system. This method using nonlinear least square method can effectively correct the monitoring data error and improve the accuracy of the data constraints.
Keywords :
least mean squares methods; marine engineering; sensor fusion; storage; FPSO hull and mooring system; FPSO single-point mooring system; data fusion method; floating production storage and offloading; information fusion; monitoring data; multibody dynamic motion equation; multisensor redundant monitoring; nonlinear least square method; sensor measurement data error; single point mooring attitude sensors; Data integration; Equations; Estimation; Least squares approximations; Mathematical model; Monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Informatics (ICSAI), 2014 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-5457-5
Type :
conf
DOI :
10.1109/ICSAI.2014.7009429
Filename :
7009429
Link To Document :
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