FAULT DIAGNOSIS ABOUT AVIATION-ENGINE BASED ON INFORMATION INTEGRATING

摘要：

The article discussed the advantage and disadvantage about neural network and expert system. According to the feature of fault for aviation engine, the paper puts forward the system of multi-parallel neural networks which are harmonized by expert system based on information integrating for the fault diagnosis of aviation engine. The expert system is used to monitor the work condition of aviation engine and harmonize the operation of neural networks. The neural networks are used to diagnose fault according to the order of expert coordination system. The system uses the modularity structure and is programmed by C and MATLAB language, the neural network toolbox is used to develop BP neural network which diagnose the fault The system takes advantage of neural network and expert system rand overcomes their disadvantages. The simulating test and practical use show that the accuracy and work efficiency of fault diagnosis are greatly increased.

关键词： aviation engine fault neural network

作者: Yilun Han Majun

作者单位: Institute of Mechano-electronic Engineering ShanDong University of Technology Qingdao 266510, P.R.China

会议类型: 国际会议

会议名称: 2011 2nd International Conference on Data Storage and Data Engineering(DSDE 2011)(2011年第二届数据存储与数据工程国际会议)

会议地点: 西安

会议语种:英文

页码: 47-50

在线出版日期: 2011-05-13（万方平台首次上网日期，不代表论文的发表时间）