Condition Monitoring Method of the Equipment Based on Extension Neural Network

被引：0
|
作者：
Zhang, Juncai [1 ]
Qian, Xu [1 ]
Zhou, Yu [1 ,2 ]
Deng, Ai [3 ]
机构：
[1] China Univ Min & Technol Beijing, Sch Mech Elect & Informat Engn, Beijing 100083, Peoples R China
[2] Univ Alberta, Dept Elect & Comp Engn, Edmonton T6G 2V4, AB, Canada
[3] Tongji Univ, Sch Software Engn, Shanghai 201804, Peoples R China
来源：
2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5 | 2010年
关键词：
Extension theory; Extension neural network; Condition monitoring; Reduction gearbox;
D O I：
10.1109/CCDC.2010.5498475
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a novel condition monitoring method of equipment based on extension neural network (ENN) is proposed. Firstly, this paper introduces the central ideas of extension theory. Then it presents the extension theory neural, including its structure and learning algorithm. In the end of the paper, the reduction gearbox of a certain equipment is researched and the extension neural network is employed to design a condition monitoring method that can detect the current condition of reduction gearbox. The experiment results indicate that the proposed method can determine the condition of machine rapidly and accurately with less time and computation.
引用
收藏
页码：1735 / +
页数：2
相关论文
共 50 条
  • [31] Fault Diagnosis Method of Mechanical Equipment Based on Convolutional Neural Network
    Zhou, Jun
    Zhang, Wenfeng
    Sun, WeiZhao
    PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON ROBOTICS, INTELLIGENT CONTROL AND ARTIFICIAL INTELLIGENCE (RICAI 2019), 2019, : 459 - 465
  • [32] Fault detection method for ship equipment based on BP neural network
    Wu Guoqiang
    2018 INTERNATIONAL CONFERENCE ON ROBOTS & INTELLIGENT SYSTEM (ICRIS 2018), 2018, : 556 - 559
  • [33] Routing Algorithm for Sensor Network Monitoring the Condition of Mining Equipment
    Jagoda, Jerzy
    Stankiewicz, Krzysztof
    Bartoszek, Slawomir
    Rogala-Rojek, Joanna
    Hetmanczyk, Mariusz
    Dymarek, Andrzej
    APPLIED SCIENCES-BASEL, 2024, 14 (11):
  • [34] A Novel Condition Monitoring Method of Wind Turbines Based on Long Short-Term Memory Neural Network
    Qian, Peng
    Tian, Xiange
    Kanfoud, Jamil
    Lee, Joash Lap Yan
    Gan, Tat-Hean
    ENERGIES, 2019, 12 (18)
  • [35] Condition Monitoring of Pneumatic Drive Systems Based on the AI Method Feed-Forward Backpropagation Neural Network
    Tiboni, Monica
    Remino, Carlo
    SENSORS, 2024, 24 (06)
  • [36] Fuzzified Neural Network based Human Condition Monitoring using a Small Flexible Monitoring Device
    2014 WORLD AUTOMATION CONGRESS (WAC): EMERGING TECHNOLOGIES FOR A NEW PARADIGM IN SYSTEM OF SYSTEMS ENGINEERING, 2014,
  • [37] Condition Monitoring of Wind Turbine Based on Copula Function and Autoregressive Neural Network
    Huang, Zhongshan
    Tian, Ling
    Xiang, Dong
    Liu, Sichao
    Wei, Yaozhong
    2018 ASIA CONFERENCE ON MECHANICAL ENGINEERING AND AEROSPACE ENGINEERING (MEAE 2018), 2018, 198
  • [38] TRICODA - Complex data analysis and condition monitoring based on neural network models
    Howells, Gareth
    Howlett, Bob
    McDonald-Maier, Klaus
    NASA/ESA Conference on Adaptive Hardware and Systems, Proceedings, 2007, : 647 - 651
  • [39] Establishment of Engine Condition Monitoring Alarm System Based on Fuzzy Neural Network
    Liu, Yubing
    Liu, Yuandong
    Wang, Xiaodong
    Jiang, Yongjia
    ADVANCED TRANSPORTATION, PTS 1 AND 2, 2011, 97-98 : 831 - +
  • [40] Sequential Fuzzy Diagnosis for Condition Monitoring of Rolling Bearing Based on Neural Network
    Wang, Huaqing
    Chen, Peng
    ADVANCES IN NEURAL NETWORKS - ISNN 2008, PT 2, PROCEEDINGS, 2008, 5264 : 284 - +
12345