基于模糊神经网络火控故障诊断系统研究

张鹏军; 王惠源; 李强

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基于模糊神经网络火控故障诊断系统研究

自动化与计算机技术 | 更新时间：2026-09-14

- 基于模糊神经网络火控故障诊断系统研究
- Fault Diagnosis System for Fire Control Based on Fuzzy Neural Network
- 中北大学学报（自然科学版） 2012年33卷第6期页码：676-680
- 作者机构：
  
  中北大学机电工程学院
- 作者简介：
- 基金信息：
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- 纸质出版：2012
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张鹏军, 王惠源, 李强. 基于模糊神经网络火控故障诊断系统研究[J]. 中北大学学报（自然科学版）, 2012,33(6):676-680.

张鹏军, 王惠源, 李强. Fault Diagnosis System for Fire Control Based on Fuzzy Neural Network[J]. 2012, 33(6): 676-680.
张鹏军, 王惠源, 李强. 基于模糊神经网络火控故障诊断系统研究[J]. 中北大学学报（自然科学版）, 2012,33(6):676-680. DOI：

张鹏军, 王惠源, 李强. Fault Diagnosis System for Fire Control Based on Fuzzy Neural Network[J]. 2012, 33(6): 676-680. DOI：

摘要

针对火控系统实时故障检测与诊断难题

对火控故障诊断系统的功能结构和故障特征进行分析研究.系统将状态监控、故障诊断、诊断意见集成为一体

采用分布式主从结构

提高了系统的可靠性和适应性.诊断算法以故障征兆特征与故障原因构成故障样本

在特定故障发生时其故障征兆就会呈现

通过神经网络训练提高了故障识别的准确性;选择蕴含算子并计算了故障信息模糊隶属度矩阵

分级进程推理完成故障识别和故障源的判定以提高诊断速度.通过实验证明了算法的有效性.

Abstract

Fire control fault diagnosis system is developed to realize real-time fault detection and diagnosis.It is based on fault trend analysis and can analyze the system's functional structure and fault feature in a systematic way.The system can be used to monitor the condition

diagnosis the fault and provide the diagnostic opinion.For it has constructed by a distributed master-slave structure

the system shows better reliability and adaptability.The algorithm of diagnose based on fault trend analysis and fault sample consisted by fault symptom and fault reason have improved the accuracy of fault identification through training neural network.At last

through choose implication operator

calculate the fuzzy membership of the fault information matrix

complete judgment of fault source and fault diagnosis

and then testify the effectiveness of the algorithm in experiment.

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references

王成刚,刘志远,杨智勇.电子装备多值测试故障诊断策略设计[J].兵工学报,2011,32(10):57-60.Wang Chenggang,Liu Zhiyuan,Yang Zhiyong.Faultdiagnosis strategy design of electronic equipmentbased on multivalve test[J].Acta Armamentarii,2011,32(10):57-60.(in Chinese)

胡雷刚,肖明清,方甲永.不协调信息的协调近似表示空间故障诊断方法[J].系统工程与电子技术,2011,33(8):84-87.Hu Leigang,Xiao Mingqing,Fang Jiayong.Diagnosiswith inconsistent information based on consistentapproximate indication space[J].Systems Engineeringand Electronics,2011,33(8):84-87.(in Chinese)

刘强,柴天佑.基于数据和知识的工业过程监视及故障诊断综述[J].控制与决策,2010,25(6):7-9.Liu Qiang,Chai Tianyou.Progress of data-driven andknowledge-driven process monitoring and faultdiagnosis for industry process[J].Control andDecision,2010,25(6):7-9.(in Chinese)

陈楚瑶.神经网络主元分析的传感器故障诊断方法[J].系统工程与电子技术,2010,32(7):55-58.Chen Chuyao.Sensor fault diagnosis method based onneural network principal component analysis[J].Systems Engineering and Electronics,2010,32(7):55-58.(in Chinese)

周剑波,鲁峰.基于灰色关联分析的航空发动机气路部件故障诊断[J].推进技术,2011,32(1):33-36.Zhou Jianbo,Lu Feng.Gas-path component faultdiagnosis based on gray relational analysis for aero-engine[J].Journal of Propulsion Technology,2011,32(1):33-36.(in Chinese)

郑小霞,钱锋.基于小波和支持向量机的故障趋势预报[J].计算机与应用化学,2008,25(1):146-148.Zheng Xiaoxia,Qian Feng.Fault trend predictionbased on wavelet transform and support vectormachine[J].Computers and Applied Chemistry,2008,25(1):146-148.(in Chinese)

左云波.形态谱在发电机组故障趋势分析中的应用[J].北京理工大学学报,2008,28(11):25-26.Zuo Yunbo.Application of pattern spectrum to thetrend analysis of fault in generator sets[J].Transactions of Beijing Institute of Technology,2008,28(11):25-26.(in Chinese)

蒋静芝.减法聚类-ANFIS在网络故障诊断的应用研究[J].计算机工程与应用,2011,47(8):76-78.Jiang Jingzhi.Study on application of subtractiveclustering and adaptive network-based fuzzy inferencesystem in network fault diagnosis[J].ComputerEngineering and Applications,2011,47(8):76-78.(in Chinese)

陆兵焱.模糊RBF网络在电源车故障诊断中的应用[J].计算机与现代化,2010,177(5):98-100.Lu Bingyan.Fault diagnosis of power vehicle withRBF fuzzy neural network[J].Computer andModernize,2010,177(5):98-100.(in Chinese)

艾延廷.基于改进模糊SVM的转子振动故障诊断技术[J].航空动力学报,2011,26(5):125-129.Ai Yanting.Technique for diagnosing fault of rotorvibration based on improved fuzzy SVM[J].Journalof Aerospace Power,2011,26(5):125-129.(in Chinese)

曹玉苹,田学民.基于信息散度的过程故障检测与诊断[J].浙江大学学报,2010,44(7):136-138.Cao Yuping,Tian Xuemin.Information divergencebased process fault detection and diagnosis[J].Journal of Zhejiang University,2010,44(7):136-138.(in Chinese)

文成林.一种新的广义梯形模糊数相似性度量方法及在故障诊断中的应用[J].电子学报,2011(3A):29-32.Wen Chenglin.A new similarity measure betweengeneralized trapezoidal fuzzy numbers and itsapplication to fault diagnosis[J].Acta ElectronicSinica,2011(3A):29-32.(in Chinese)

刘金海,冯健.基于模糊分类的流体管道泄漏故障智能检测方法研究[J].仪器仪表学报,2011,32(1):356-359.Liu Jinhai,Feng Jian.Research on leak faultintelligent detection method for fluid pipeline basedon fuzzy classification[J].Chinese Journal ofScientific Instrument,2011,32(1):356-359.(in Chinese)

张捷.基于神经网络预测的网络控制系统故障检测[J].南京理工大学学报,2010,34(1):7-9.Zhang Jie.Fault detection of networked controlsystems based on neural network prediction[J].Journal of Nanjing University of Science andTechnology,2010,34(1):7-9.(in Chinese)

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