核动力装置混合智能故障诊断系统研究  

Hybrid Approach for Fault Diagnosis Based on Multilevel Flow Model and Information Fusion of Nuclear Power Plant

作　　者：马杰[1] 郭立峰[1] 张宇声[1] 彭俏[1] 阮旻智[2] 

机构地区：[1]海军工程大学船舶与动力学院,湖北武汉430033 [2]海军工程大学兵器工程系,湖北武汉430033

出　　处：《原子能科学技术》2011年第8期977-982,共6页Atomic Energy Science and Technology

摘　　要：针对核动力装置的状态监测与故障诊断问题,为克服单一故障诊断方法的局限性,本文提出了基于多层流模型(MFM)和信息融合理论的混合智能故障诊断方法。利用信息融合的方法来提高故障诊断的快速性和准确性,同时利用MFM方法解释故障发生时报警的传播路径,提高对诊断结果的可理解性。仿真实验表明,混合智能诊断方法能迅速判明故障并提交报警分析。In order to improve the ability of condition monitoring and fault diagnostic system,a hybrid intelligent diagnostic system based on multilevel flow model（MFM） and information fusion was proposed.This method utilized information fusion technique to improve the rapidness and veracity of fault diagnosis,and made use of MFM to explain the alarm propagation path,which could enhance the comprehension of diagnostic result.The emulation test proves that the hybrid intelligent diagnostic system can identify fault and propose the alarm analysis quickly.

关 键 词：核动力装置 信息融合 多层流模型 故障诊断 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]