大连海事大学学报 >
2017 , Vol. 43 >Issue 4: 89 - 96
DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2017.04.013
基于信息融合的船舶中央冷却系统运行状态评估
收稿日期: 2017-04-22
修回日期: 2017-05-29
网络出版日期: 2017-05-31
基金资助
国家自然科学基金资助项目(51479017)；中央高校基本科研业务费专项资金资助项目(3132015210;3132016368).
Operating condition evaluation of ship central cooling system based on information fusion
Received date: 2017-04-22
Revised date: 2017-05-29
Online published: 2017-05-31
贾宝柱 , 贾志涛 , 赵祥 . 基于信息融合的船舶中央冷却系统运行状态评估[J]. 大连海事大学学报, 2017 , 43(4) : 89 -96 . DOI: 10.16411/j.cnki.issn1006-7736.2017.04.013
In order to solve the problem of effective utilization of mass disorder data information in ship integrated monitoring system, taking the ship central cooling system as study objectives, and the information fusion method combining Dampster-Shafer evidence theory and Rough sets was proposed to identify the hidden trouble states in the operation of the system. The equivalence attribute and evidence-decision-coefficient were defined respectively, and a fast reduction algorithm and evidence synthesis method based on evidence confidence were derived. The solving procedure of basic probability assignment was specified. The testing evaluation results based on typical status data of real ship central cooling system show that the conclusions are basically consistent with those based on prior knowledge, which verifies the effectiveness of the proposed method in evaluating the state of hidden trouble in the system.
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