教授 博士生导师 硕士生导师
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
开通时间: ..
最后更新时间: ..
点击次数:
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.