Volume 34 Issue 4
Turn off MathJax
Article Contents
Abstract
Related Articles
WANG Xin, DAI Li. Research of Fuzzy Wavelet Neural Network and Its Applicatio[J]. Journal of Mine Automation, 2008, 34(4): 43-46.
Citation: WANG Xin, DAI Li. Research of Fuzzy Wavelet Neural Network and Its Applicatio[J]. Journal of Mine Automation, 2008, 34(4): 43-46.
shu

Research of Fuzzy Wavelet Neural Network and Its Applicatio

  • College of Electrical Engineering and Automation of Henan Polytechnic University,Jiaozuo 454000,China

More Information
    Graphical Abstract
    • Abstract
  • Aiming at disadvantages of wavelet neural network such as long training time and easily gets into local minimum value, the paper put forward a method that wavelet neural network fused fuzzy algorithm, and built fuzzy wavelet neural network model and its training algorithm.It gave practical sample of the model in fault prediction of frequency-conversion speed-regulation system. The application result indicated that fuzzy wavelet neural network improves network training speed and achieves good effect of function approximation.
    • FullText(HTML)
    • References (0)
    • Related Articles

  • Related Articles

    [1]ZHANG Mei, XU Tao, SUN Huihuang, MENG Xiangyu. Fault diagnosis of mine hoist based on fuzzy fault tree and Bayesian network[J]. Journal of Mine Automation, 2020, 46(11): 1-5. DOI: 10.13272/j.issn.1671-251x.17562
    [2]SUN Huiying, LIN Zhongpeng, HUANG Can, CHEN Peng. Fault diagnosis of mine ventilator based on improved BP neural network[J]. Journal of Mine Automation, 2017, 43(4): 37-41. DOI: 10.13272/j.issn.1671-251x.2017.04.009
    [3]LIU Jingyan, LI Yudong, GUO Shunjing. Gear box fault diagnosis based on Elman neural networ[J]. Journal of Mine Automation, 2016, 42(8): 47-51. DOI: 10.13272/j.issn.1671-251x.2016.08.012
    [4]GONG Maofa, LIU Yanni, WANG Laihe, ZHANG Chao, HOU Linyua. Fault diagnosis of mine hoist based on optimizing fuzzy Petri networks[J]. Journal of Mine Automation, 2016, 42(7): 50-53. DOI: 10.13272/j.issn.1671-251x.2016.07.012
    [5]XUE Guanghui, ZHANG Jun, JI Xiaodong, ZHAO Xinying. Research of vibration fault diagnosis of underground belt conveyor gear reducer[J]. Journal of Mine Automation, 2014, 40(6): 51-53. DOI: 10.13272/j.issn.1671-251x.2014.06.013
    [6]ZHENG Xiao-qian, HU Shi-qiang, WU Jian. Research of fault diagnosis and prediction for diesel engine based on probabilistic neural network[J]. Journal of Mine Automation, 2013, 39(9): 104-108. DOI: 10.7526/j.issn.1671-251X.2013.09.027
    [7]HU Wei, LI Ou. Application of fuzzy information fusion in fault diagnosis of belt conveyor[J]. Journal of Mine Automation, 2013, 39(6): 48-51.
    [8]WANG Qi-jun~, CHENG Jiu-long~. Research of Fault Diagnosis of Gas Sensor Based on Information Fusion Technology[J]. Journal of Mine Automation, 2008, 34(2): 22-25.
    [9]HE Yi, DONG Ai-hua, YAN Shu-feng. Fault Diagnosis of Giant Asynchronous Motor Based on Neural Network Expert System[J]. Journal of Mine Automation, 2004, 30(5): 4-7.
    [10]WANG Chang-quan , LING Wei-ye . Research on the Vibration and Temperature Monitoring and Control System in Fault Diagnosis[J]. Journal of Mine Automation, 2002, 28(5): 6-7.

Catalog

    Get Citation
    XML

    Article Metrics

    Article views (38) PDF downloads (0) Cited by()
    Related

    苏ICP备 05016349号-2

    Supported by: Beijing Renhe Information Technology Co., Ltd. Visits：1164165    Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return