Open AccessApplication Research on Ship Diesel Engine Condition Assessment System
Author(s) -
Chao Ma,
Long Chen,
Gang Zhao
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/300/4/042093
Subject(s) - rough set , state (computer science) , process (computing) , computer science , set (abstract data type) , matlab , intelligent transportation system , systems engineering , industrial engineering , engineering , artificial intelligence , transport engineering , algorithm , programming language , operating system
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.