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基于模糊信息融合的船舶动力装置综合故障诊断方法研究
引用本文:杨广,吴晓平.基于模糊信息融合的船舶动力装置综合故障诊断方法研究[J].船舶工程,2007,29(6):5-8.
作者姓名:杨广  吴晓平
作者单位:镇江船艇学院,船艇工程系,镇江,212003;海军工程大学,信息安全系,武汉,430033;镇江船艇学院,船艇工程系,镇江,212003
摘    要:在模糊集理论的基础上,将决策级信息融合技术应用于故障诊断系统中,提出了一种基于系统模糊综合评价融合结构下的综合故障诊断方法.该方法以模糊逻辑运算和全局决策融合来自多传感器的局部判决来获取诊断对象的综合诊断结果,并对船舶主动力系统的运行故障进行诊断研究,结果表明,该方法准确有效,为船舶动力装置故障的智能化诊断提供了有益的借鉴.

关 键 词:人工智能  船舶动力装置  故障诊断  模糊理论  信息融合  系统综合评价
文章编号:1000-6982(2007)06-0005-04
收稿时间:2006-12-06
修稿时间:2007-03-15

Research on synthesized fault diagnosis method of marine power plant based on fuzzy information fusion
YANG Guang,WU Xiao-ping.Research on synthesized fault diagnosis method of marine power plant based on fuzzy information fusion[J].Ship Engineering,2007,29(6):5-8.
Authors:YANG Guang  WU Xiao-ping
Abstract:On the basis of the fuzzy logic theory, a synthesized fault diagnosis method is presented for fault diagnosis system, which makes use of system fuzzy comprehensive assessment technique. In this method, the synthesized diagnostic results are obtained at the fusion center by using the fuzzy logic operation and the global decision through fusing the local decision of multiple sensors. Finally a practical example is applied for fault diagnosis of marine main power system, and the diagnostic results indicate that the method is available, which can give marine power plant a beneficial reference for intelligent diagnosis.
Keywords:artificial intelligence  marine power plant  fault diagnosis  fuzzy theory  information fusion  system comprehensive assessment
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