FAULT DIAGNOSIS ABOUT AVIATION-ENGINE BASED ON INFORMATION INTEGRATING

机译：基于信息集成的航空发动机故障诊断

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The article discussed the advantage and disadvantage aboutrnneural network and expert system. According to the feature ofrnfault for aviation engine, the paper puts forward the systemrnof multi-parallel neural networks which are harmonized byrnexpert system based on information integrating for the faultrndiagnosis of aviation engine. The expert system is used tornmonitor the work condition of aviation engine and harmonizernthe operation of neural networks. The neural networks are usedrnto diagnose fault according to the order of expert coordinationrnsystem. The system uses the modularity structure and isrnprogrammed by C and MATLAB language, the neural networkrntoolbox is used to develop BP neural network that diagnose thernfault. The system takes advantage of neural network andrnexpert system and overcomes their disadvantages. Thernsimulating test and practical use show that the accuracy andrnwork efficiency of fault diagnosis are greatly increased.

机译：本文讨论了神经网络和专家系统的优缺点。针对航空发动机故障的特点，提出了一种基于信息集成的专家系统协调的系统并行神经网络，用于航空发动机故障诊断。专家系统用于监测航空发动机的工作状况，协调神经网络的运行。神经网络用于根据专家协调系统的顺序诊断故障。该系统采用模块化结构，用C语言和MATLAB语言进行编程，神经网络工具箱用于开发诊断故障的BP神经网络。该系统利用神经网络和专家系统，克服了它们的缺点。仿真试验和实际应用表明，故障诊断的准确性和工作效率大大提高。

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来源
《IMAC-XXI: a conference amp; exposition on structural dynamics》|2003年|p.1-5|共5页
会议地点 Kissimmee FL(US)
作者
Yilun Han; Qingfo Yang;
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作者单位

Institute of Mechano-electronic EngineeringrnTaiyuan University of Technology, Taiyuan 030024, P.R.Chinarne-mail:www168_1@163.com;

Institute of Mechano-electronic EngineeringrnTaiyuan University of Technology, Taiyuan 030024, P.R.China;

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原文格式 PDF
正文语种 eng
中图分类结构力学;结构力学;
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FAULT DIAGNOSIS ABOUT AVIATION-ENGINE BASED ON INFORMATION INTEGRATING

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