船舶结构监测系统的应力预测研究  

Prediction of stress pattern in the ship structure monitoring system

作　　者：吴爽[1] 焦淑红[1] WU Shuang;JIAO Shuhong(College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China)

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001

出　　处：《应用科技》2018年第6期8-11,16,共5页Applied Science and Technology

基　　金：国家自然科学基金项目(KY10100160075)

摘　　要：传统船舶航行决策对于决策的经验过分依赖,辅助决策可以帮助决策者在决策过程中更好地分析问题、评价和制定方案,其中对船舶结构监测系统的预测研究是船舶中辅助决策前提条件,故着重对该部分进行研究。首先,对船舶结构应力监测传感器的选用及布置方案进行讨论;然后,针对船舶结构应力序列非线性、非平稳信号特点,提出了一种互补集合经验模态分解(CEEMD)和通过改进网格搜索法进行参数寻优的支持向量机(SVM)相结合的结构应力预测模型;最后,利用多种测试样本验证预测模型的可靠性和准确性。通过实验验证,提出的结构应力预测模型在不同海况情况下都具有较高的准确性。Traditionally,the ship navigation decision-making depends too much on the decision-making experience.The aided decision-making can help decision-makers better analyze,evaluate and formulate plans in the decision-making process,the prediction research of ship structure monitoring system is a prerequisite for auxiliary decision-making in ships,so this part is the focus of research.First of all,the choice and layout scheme of the monitoring sensor for ship structure stress was discussed.Then,in view of the nonlinear and non-stationary signal characteristics of ship structure stress sequence,a structure stress prediction model was proposed by combination of the complementary ensemble empirical mode decomposition(CEEMD)and the support vector machine(SVM)that optimizes parameter through improved grid search method.Finally,a variety of test samples were used to verify the reliability and accuracy of the prediction model.Through verification,the proposed structure stress prediction model has high accuracy under different sea conditions.

关 键 词：智能化船舶 监测 传感器 非平稳信号 互补集合经验模态分解 支持向量机 预测模型 网格搜索法 

分 类 号：U662.9[交通运输工程—船舶及航道工程]