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某型大功率电子设备故障智能诊断系统的设计
引用本文:杨林辉,王高山,杨建涛. 某型大功率电子设备故障智能诊断系统的设计[J]. 桂林电子科技大学学报, 2005, 25(5): 43-47
作者姓名:杨林辉  王高山  杨建涛
作者单位:海军工程大学,湖北,武汉,430033;海军工程大学,湖北,武汉,430033;海军工程大学,湖北,武汉,430033
摘    要:针对大功率电子设备故障诊断存在的定位、隔离困难的问题,以舰载某型大功率通信设备为例,将神经网络和传统的专家系统结合起来,设计了实时的故障智能诊断系统,不仅避免了专家系统存在的一些问题,而且提高了传统故障诊断系统的智能性,使故障诊断更为科学、精确和智能。

关 键 词:神经网络  故障诊断  专家系统  人工智能
文章编号:1001-7437(2005)05-43-05
修稿时间:2005-05-12

The Designing of Faults Diagnosis System for High-power Electronic Equipments
YANG Lin-hui,WANG Gao-shan,YANG Jian-tao. The Designing of Faults Diagnosis System for High-power Electronic Equipments[J]. Journal of Guilin University of Electronic Technology, 2005, 25(5): 43-47
Authors:YANG Lin-hui  WANG Gao-shan  YANG Jian-tao
Abstract:In response to the problems with the orientation and the insulation of the high-power electronic equipment's faults,a real-time intelligent fault diagnosis system is proposed in this paper which has been designed to combine neural network with expert system.This design not only resolves the many problems inherent in the expert system,but also improves the capacity of the fault diagnosis system,which enables the system to perform more scientific,accurate and intelligent fault diagnosis work.
Keywords:neural network  fault diagnosis  expert system  artificial intelligence
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