NDLI: A data fusion method for the attitude of the floating production storage and offloading(FPSO) single-point mooring system based on the monitoring data

Content Provider	IEEE Xplore Digital Library
Author	Dongmei Wang Da Tang Qianjin Yue Zhongmin Shi Jiaguo Feng
Copyright Year	2014
Description	Author affiliation: China Nat. Offshore Oil Corp., Beijing, China (Zhongmin Shi; Jiaguo Feng) \|\| Fac. of Vehicle Eng. & Mech., Dalian Univ. of Technol., Dalian, China (Qianjin Yue) \|\| Comput. Sci. & Eng, Dalian Univ. of Technol., Dalian, China (Dongmei Wang; Da Tang)
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.
Starting Page	987
Ending Page	991
File Size	605769
Page Count	5
File Format	PDF
e-ISBN	9781479954582
DOI	10.1109/ICSAI.2014.7009429
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Least squares approximations Data integration Estimation Mathematical model Monitoring Equations
Content Type	Text
Resource Type	Article

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