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基于遗传算法的船用核动力装置故障诊断
引用本文:谢春玲,戴景民,施小成.基于遗传算法的船用核动力装置故障诊断[J].中国造船,2007,48(2):111-115.
作者姓名:谢春玲  戴景民  施小成
作者单位:1. 哈尔滨工业大学电气工程及自动化学院,黑龙江,哈尔滨,150001
2. 哈尔滨工程大学自动化学院,黑龙江,哈尔滨,150001
摘    要:介绍一种将概率因果模型和遗传算法相结合的核动力装置二回路凝给水系统的故障诊断方法,该方法将概率因果模型的似然函数作为遗传算法的适应函数,从而将复杂系统的故障诊断转化为最优问题。仿真结果表明,该方法能够适应诊断过程中出现的不确定性,并实现多故障诊断,具有较高的诊断可靠性和实用性。

关 键 词:船舶、舰船工程  遗传算法  故障诊断  概率因果模型  核动力装置
文章编号:1000-4882(2007)02-0111-05
修稿时间:2005-09-14

Ship's Nuclear Power Plant Fault Diagnosis Based on Genetic Algorithm
XIE Chun-ling,DAI Jing-min,SHI Xiao-cheng.Ship''''s Nuclear Power Plant Fault Diagnosis Based on Genetic Algorithm[J].Shipbuilding of China,2007,48(2):111-115.
Authors:XIE Chun-ling  DAI Jing-min  SHI Xiao-cheng
Institution:1. School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China; 2. School of Automation, Harbin Engineering Univerisity, Harbin 150001, China
Abstract:A novel diagnosis method is proposed based on probabilistic causal-effect model and genetic algorithm,which takes advantage of calculating probability function from the causal-effect model as the fitness function instead of the original complex system.Simulation results show that it can deal with the uncertainty situation and be suitable for multi-faults diagnosis.This method has higher reliability and practicability.
Keywords:ship engineering  genetic algorithm  fault diagnosis  probability causal-effect model  nuclear power plant
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