[an error occurred while processing this directive] [an error occurred while processing this directive] [an error occurred while processing this directive]
[an error occurred while processing this directive]

The Fault Diagnosis Research on a Certain Type of Rocket Launcher Electrical System Based on CNN

  • LI Yongbao ,
  • ZHANG Jianxin ,
  • ZHANG Zhen ,
  • WANG Xiaozhao ,
  • LI Feng ,
  • XIE Lizhong
Expand
  • Hubei Jiangshan Heavy Industry Co., Ltd.,Hubei Xiangyang 441005,China

Received date: 2020-04-18

  Online published: 2025-02-25

Abstract

Rocket launcher is developing in the direction of automation and information. The limitations of traditional fault diagnosis methods are becoming increasingly prominent. Modern rocket launcher requires fast and accurate diagnosis method to meet the requirements of modern warfare. Aiming at the characteristics of the faults in the electrical system of rocket launchers, this paper proposes a fault diagnosis method based on one-dimensional convolutional neural network. Based on the fault data of the electrical system of a certain rocket launcher, a fault diagnosis model was established. It has been verified that the accuracy of the fault diagnosis method can reach 98.61%, which confirms the feasibility of the convolutional neural network for the fault diagnosis of the rocket launcher electrical system.

Cite this article

LI Yongbao , ZHANG Jianxin , ZHANG Zhen , WANG Xiaozhao , LI Feng , XIE Lizhong . The Fault Diagnosis Research on a Certain Type of Rocket Launcher Electrical System Based on CNN[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2021 , 41(2) : 82 -86 . DOI: 10.15892/j.cnki.djzdxb.2021.02.018

[an error occurred while processing this directive]
[1]
胡良明, 徐诚, 李万平. 基于案例推理的自行火炮故障诊断专家系统[J]. 火炮发射与控制学报, 2006(2):53-57.

[2]
于春霞. 改进神经网络在模拟电路故障诊断中的应用[J]. 计算机仿真, 2011, 28(6):239-242.

[3]
张建民, 何怡刚, 龙佳乐, 等. 基于人工智能的电力电子电路故障诊断[J]. 科学技术与工程, 2007, 7(9):2058-2059.

[4]
钱莉, 姚恒, 刘牮. 基于小波高频系数统计特征的电路故障诊断[J]. 电子科技, 2015, 28(6):118-122.

[5]
LI J W, LI G N. Research on fault diagnosis of ZPW-2000K track circuit based on RS-BN algorithm[J]. Tehnički Vjesnik, 2019, 26(4): 1091-1097.

[6]
WANG Y H, MA Y Y, CUI S M, et al. A novel approach of feature extraction for analog circuit fault diagnosis based on WPD-LLE-CSA. 2018, 13(6): 2485-2492.

[7]
HINTON G E, OSINDERO S, TEH Y W. A fast learning algorithm for deep belief nets[J]. Neural Computation, 2006, 18(7): 1527-1554.

DOI PMID

[8]
KRIZHEVSKY A, SUTSKEVER I, HINTON G E. ImageNet classification with deep convolutional neural networks[C]// NIPS.Proceedings of the 25th International Conference on Neural Information Proceesing Systems. New York: Curran Associates Inc. 2012: 1097-1105.

[9]
ZEILER M D, FERGUS R. Visualizing and understanding convolutional networks[C]// ECCV. Proceedings of the 13th European Conference. New York: Springer International Publishing, 2014: 818-833.

[10]
SZEGEDY C, LIU W, JIA Y Q, et al. Going deeper with convolutions[C]// IEEE. Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition. New York: IEEE, 2015: 1-9.

[11]
YAN Z C, ZHANG H, PIRAMUTHU R, et al. HD-CNN: hierarchical deep convolutional neural networks for large scale visual recognition[C]// IEEE. Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV). New York: IEEE, 2015: 1534-1541.

[12]
HE K M, ZHANG X Y, REN S Q, et al. Deep residual learning for image recognition[C]// IEEE.Proceedings of the 2016 IEEE. Conference on Computer Vision and Pattern Recognition. New York: IEEE, 2016: 770-778.

[13]
朱锡祥, 刘凤山, 张超, 等. 基于一维卷积神经网络的车载语音识别研究[J]. 微电子学与计算机, 2017, 34(11):21-25.

[14]
彭亘昌, 姚干, 周凯波, 等. 基于一维卷积神经网络和i-vector的孤立词语音识别[J]. 信息与电脑, 2018(4):43-46.

[15]
李东东, 王浩, 杨帆, 等. 基于一维卷积神经网络和Soft-Max分类器的风电机组行星齿轮箱故障检测[J]. 电机与控制应用, 2018, 45(6):80-87.

[16]
黄佼, 宾光宇, 吴水才. 基于一维卷积神经网络的患者特异性心拍分类方法研究[J]. 中国医疗设备, 2018, 33(3):11-14.

[17]
KIRANYAZ S, INCE T, GABBOUJ M. Real-time patient-specific ECG classification by 1-D convolutional neural networks[J]. IEEE Transactions on Biomedical Engineering, 2016, 63(3): 664-675.

Outlines

/

[an error occurred while processing this directive]