Application Research on Ship Diesel Engine Condition Assessment System

3rd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Ma, Chao^1 ; Chen, Long^1 ; Zhao, Gang^1

Systems Engineering Research Institute, Beijing

100094, China^1

关键词: Application research;    D S evidence theory;    Development directions;    Engine conditions;    Intelligent information;    Intelligent technology;    Ship power system;    Systematic experiment;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/300/4/042093/pdf
DOI  :  10.1088/1755-1315/300/4/042093

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In order to promote the development of intelligent ships, accelerate the application research of intelligent technology engineering, and build an intelligent information platform for big data fusion environment based on ship safety, economy and intelligence, it has become an important development direction in the industry. In the process of research and study on the existing methods of ship dynamic system state assessment, this paper applies the rough set theory and DS evidence theory to the application of ship dynamic system state assessment, and builds a ship dynamic system based on rough set theory and DS evidence theory. The state assessment model, and a detailed description of the assessment method, is used to verify the feasibility of the ship instance. Finally, the article uses Visual C# language and MATLAB mathematics tools to carry out systematic experiments on ship power system state assessment.