Fault Diagnosis of Hydraulic System Based on Improved BP Neural Network Technology

被引：0
|
作者：
Zhang Yinshuo [1 ]
Xia Jun [2 ]
Li Lei [2 ]
机构：
[1] Nanjing Artillery Acad, Langfang 065000, Peoples R China
[2] Nanjing Artillery Acad, Teaching & Sci Res Off, Langfang 065000, Peoples R China
来源：
PROCEEDINGS OF 2013 2ND INTERNATIONAL CONFERENCE ON MEASUREMENT, INFORMATION AND CONTROL (ICMIC 2013), VOLS 1 & 2 | 2013年
关键词：
BP algorithm; neural network; hydraulic system; fault diagnosis;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A fault diagnosis model with BP network for a certain hydraulic system were described. The realization process of the fault diagnosis based on the improved BP algorithm was discussed. According to the experiment, the improved BP network has better learning ability, higher convergence rate ability and higher stability of learning and memory. The diagnosis results indicate that the presented diagnosis method has higher reliability and can attain the expected results, which can be applied to fault diagnosis of hydraulic system.
引用
收藏
页码：137 / 140
页数：4
相关论文
共 50 条
  • [21] Bearing Fault Diagnosis Based on BP Neural Network
    Huo, Lin
    Zhang, Xinyue
    Li, Handong
    2018 INTERNATIONAL CONFERENCE ON AIR POLLUTION AND ENVIRONMENTAL ENGINEERING (APEE 2018), 2018, 208
  • [22] Method of fault diagnosis based on BP neural network
    Zhang, Xu-Jin
    Tan, Jian-Bo
    Han, Jiang-Hong
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2002, 22 (06):
  • [23] Gear Fault Diagnosis Based on BP Neural Network
    Huang, Yongsheng
    Huang, Ruoshi
    2017 INTERNATIONAL SYMPOSIUM ON APPLICATION OF MATERIALS SCIENCE AND ENERGY MATERIALS (SAMSE 2017), 2018, 322
  • [24] Fault diagnosis method based on BP neural network
    Mu, F
    Luan, JY
    Li, SQ
    Ye, HM
    Wang, H
    ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS, 2003, : 1195 - 1198
  • [25] Application of Improved BP Neural Network Based on Genetic Algorithm in Fault Diagnosis of Equipment
    Ren, Xin
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING AND INDUSTRIAL INFORMATICS (AMEII 2016), 2016, 73 : 1076 - 1080
  • [26] Transformer Fault Diagnosis Based on an Improved Sine Cosine Algorithm and BP Neural Network
    Cheng, Jiatang
    Feng, Zhichao
    Xiong, Yan
    RECENT ADVANCES IN ELECTRICAL & ELECTRONIC ENGINEERING, 2022, 15 (06) : 502 - 510
  • [27] Application and research of the train fault diagnosis based on improved BP neural network algorithm
    Qu, Yingwei
    Yan, Yinnan
    Zheng, Guanghai
    2012 INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING AND COMMUNICATION TECHNOLOGY (ICCECT 2012), 2012, : 43 - 47
  • [28] Fan fault diagnosis based on symmetrized dot pattern and improved BP neural network
    Wang, Songling
    Liu, Haixiao
    Xu, Xiaogang
    PROCEEDINGS OF THE 2016 3RD INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING, MANUFACTURING TECHNOLOGY AND CONTROL, 2016, 67 : 899 - 902
  • [29] Research on Transformer Fault Diagnosis Based on BP Neural Network Improved by Association Rules
    Jiang Long
    Li Shiyong
    Yang Chao
    Wang Dejun
    Yao Yang
    Wang Kai
    Zhang Hongru
    Li Qingquan
    2019 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL MATERIALS AND POWER EQUIPMENT (ICEMPE 2019), 2019, : 554 - 559
  • [30] Research on bearing fault diagnosis based on improved genetic algorithm and BP neural network
    Chen, Zenghua
    Zhu, Lingjian
    Lu, He
    Chen, Shichao
    Zhu, Fenghua
    Liu, Sheng
    Han, Yunjun
    Xiong, Gang
    SCIENTIFIC REPORTS, 2024, 14 (01):
12345