基于欠定盲源分离和Copula统计的船舶电力系统健康评估建模研究

项目名称： 基于欠定盲源分离和Copula统计的船舶电力系统健康评估建模研究

项目编号： No.51309116

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 水利工程

项目作者： 王荣杰

作者单位： 集美大学

项目金额： 24万元

中文摘要： 首先针对人工蜂群优化算法的初值产生和寻优机理关键技术，提出混沌映射技术产生初值法和相应改进的寻优机理；在此基础上，建立基于人工蜂群优化机理的欠定盲源有序分离技术，以消除源信号分离次序的模糊性；着重研究基于欠定盲源分离技术和Copula统计的船舶电力系统健康评估模型，它首先将欠定盲源分离技术应用于船舶电力系统工作监测数据采集,然后与基于Copula统计理论的状态评估和预测机理有机相结合来评估或预测船舶电力系统健康情况，使船舶能在良好停泊条件或工作环境下进行维护；该项目采用理论分析、软件仿真、平台实验和实体船舶实测进行验证研究。 目前，国内外都致力于加大"综合电力系统"型船舶的开发力度，电力推进系统挑战了柴油机动力的统治地位，成为船舶推进的主动力系统。正常工作的电力系统是船舶在海上安全行驶的前提，因此本项目的研究对提高船舶技术具有重大的理论意义和应用价值，也符合我国建设海洋强国国策的的需求

中文关键词： 船舶电力系统；健康评估；人工蜂群算法；盲源分离；故障预测

英文摘要： Aiming to the key technologies of initial value generates and optimization mechanism for artificial bee colony optimization algorithm, chaotic maps was used to generate the initial value of optimization parameters, and the improved optimization mechanism was also proposed. On the above basis, a method of underdetermined blind source separation with the order based on artificial bee colony optimization mechanism was constructed; it will eliminate the order ambiguity of separated signals. The health assessment model of marine electric power system based on underdetermined blind source separation and Copula statistics was emphatically studied. Firstly, application underdetermined blind source separation in data acquisition of marine electric power system work monitoring, it can evaluate or predict the health situation of marine electric power system by combining with the organics of sate assessment and prediction based on Copula statistics theory, and then enable ship can be repaired in the best berthing condition and working environment. Research works of this project were validated by using theory analysis, software simulation, platform experiment and entity ship measured study. At present, both home and abroad are committed to intensify efforts to develop integrated power system for ship, the electric propulsio

英文关键词： Marine electric power system；Health assessment；Artificial bee colony；Blind source separation；Fault prognosis