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性别: 男

毕业院校: 大连理工大学

学位: 博士

所在单位: 力学与航空航天学院

电子邮箱: yueqj@dlut.edu.cn

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A Data Fusion Method for the Attitude of the Floating Production Storage and Offloading(FPSO) Single-point Mooring System Based on the Monitoring Data

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论文类型: 会议论文

发表时间: 2014-01-01

收录刊物: CPCI-S

页面范围: 987-991

摘要: 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.

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