基于RMBP神经网络的飞机电气故障智能诊断

doi:10.16182/j.issn1004731x.joss.201809034

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (9): 3493-3501.doi: 10.16182/j.issn1004731x.joss.201809034

基于RMBP神经网络的飞机电气故障智能诊断

贾立山^1,2, 刘喆^1,2,3, 孙毅^1,2

1.中国民航大学天津市民用航空器适航与维修重点实验室,天津 300300;
2.中国民航大学航空地面特种设备民航研究基地,天津 300300;
3.北京飞机维修工程有限公司天津分公司,天津 300300

收稿日期:2016-04-24 出版日期:2018-09-10 发布日期:2019-01-08
作者简介:贾立山(1976-),男,天津,博士,副研究员,研究方向为计算机控制与仿真技术; 刘喆(1988-),男,河北,硕士生,研究方向为民航飞机维修; 孙毅(1991-),男,山东,硕士生,研究方向为载运工具运用工程。

Intelligent Diagnosis of Aircraft Electrical Faults Based on RMBP Neural Network

Jia Lishan^1,2, Liu Zhe^1,2,3, Sun Yi^1,2

1. Tianjin Key Laboratory for Civil Aircraft Airworthiness and Maintenance of Civil Aviation University of China, Civil Aviation University of China, Tianjin 300300, China;
2. Ground Support Equipments Research Base of Civil University of China, Civil Aviation University of China, Tianjin 300300, China;
3. Beijing Aircraft Maintenance and Engineering Corporation Tianjin branch, Tianjin 300300, China

Received:2016-04-24 Online:2018-09-10 Published:2019-01-08

摘要/Abstract

摘要： 针对民航飞机维修中飞机电气故障维修存在的多发性、不易排除和费时费力的特点,提出应用RMBP神经网络构建飞机电气故障智能诊断系统。因为RMBP算法能够克服普通BP算法收敛时间长、易陷入局部极小的缺陷以及适合进行大规模神经网络的训练,所以智能故障诊断系统应用RMBP神经网络进行样本数据的学习。总结了经验数据,制订了样本集,进行了训练和测试。测试结果表明,飞机电气故障智能诊断系统能够正确诊断测试样本的故障,满足民航飞机电气故障维修的需要。

关键词: RMBP神经网络, 专家系统, 机器学习, 故障诊断, 民航飞机电气故障维修

Abstract: To the characteristics of multiple properties, hard to remove and high cost of time and manpower of aircraft electrical faults maintenance in aircraft maintenance of civil aviation, construction of intelligent aircraft electrical faults diagnosis system using RMBP neural network is proposed. RMBP algorithm is used to study sample data in the intelligent faults diagnosis system as it can overcome the faults of long time of convergence and easy to go into local minima of common BP algorithm, and is suitable for training large-scale neural network,. Experience data are collected, samples are made, samples training and experiment are carried out. Results of experiment show that intelligent diagnosis system of aircraft electrical faults can diagnose the faults of test samples correctly, which verifies that it can meet the requirement of aircraft electrical faults maintenance of civil aviation.

Key words: RMBP neural network, expert system, machine learning, faults diagnosis, aircraft electrical faults maintenance of civil aviation

中图分类号:

贾立山, 刘喆, 孙毅. 基于RMBP神经网络的飞机电气故障智能诊断[J]. 系统仿真学报, 2018, 30(9): 3493-3501.

Jia Lishan, Liu Zhe, Sun Yi. Intelligent Diagnosis of Aircraft Electrical Faults Based on RMBP Neural Network[J]. Journal of System Simulation, 2018, 30(9): 3493-3501.

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基于RMBP神经网络的飞机电气故障智能诊断

Intelligent Diagnosis of Aircraft Electrical Faults Based on RMBP Neural Network

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