Optimization Research of Ship Power System Based on Big Data

被引:0
|
作者
Tian, Chunlai [1 ]
Tian, Zou [2 ]
机构
[1] Pingxiang Univ, Sch Mech & Elect Engn, Pingxiang 337000, Jiangxi, Peoples R China
[2] Pingxiang Univ, Sch Law, Pingxiang 337000, Jiangxi, Peoples R China
关键词
Big data; power system; monitoring; fault diagnosis;
D O I
10.2112/SI94-027.1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Rough set theory has a good effect on the classification and reduction of data. After processing, the extracted data rules represent the attribute set and decision set of the information system. However, it has certain shortcomings, that is, the relationship between the rules cannot be seen from the extraction rules. The D-S evidence theory has strong probability estimation ability, and can combine the independent evidence of the data source through the synthesis rule, so as to obtain the quantitative result but the calculation amount is large, and the research work changes with the complexity of the data information. Based on rough set I>S evidence theory PS1 can comprehensively analyse massive data source information, reduce effective information, convert it into basic credibility distribution of evidence information, and then obtain decision results through evidence synthesis, and optimize the accuracy of state evaluation conclusions.
引用
收藏
页码:137 / 140
页数:4
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