Fault DSmT fusion method of core barrel based on wavelet energy analysis

被引:0
|
作者
Engineering Training Center, Harbin Engineering University, Harbin [1 ]
150001, China
不详 [2 ]
150001, China
机构
来源
Hedongli Gongcheng | / 1卷 / 85-89期
关键词
Energy management - Wavelet analysis;
D O I
10.13832/j.jnpe.2015.01.0085
中图分类号
学科分类号
摘要
Being aimed at the problems that it is difficult to recognize effectively the faults of core barrel rupture and fall off of core barrel fasteners parts, a method of the wavelet packet energy analysis and DSmT is proposed. By using the wavelet decomposition and reconstruction method, the fault signal of core barrel is decomposed to the basis function family formed from wavelet expanding and contracting, then sub-band energy distributed in different bands are obtained, and used as BPA evaluation signal of core barrel DSmT. By the simulation and analysis, the effectiveness of this method is verified. ©, 2015, Editorial Office of Nuclear Power Engineering. All right reserved.
引用
收藏
相关论文
共 50 条
  • [41] Data Fusion Fault Diagnosis Based on Wavelet Transform and Neural Network
    Ma Jiancang Luo Lei Wu Qibin P.O.Box 813
    International Journal of Plant Engineering and Management, 1997, (01) : 19 - 24
  • [42] 5-DETECTOR METHOD FOR CORE-BARREL MOTION ANALYSIS
    YAMADA, S
    SATO, T
    KANAMARU, H
    ANNALS OF NUCLEAR ENERGY, 1985, 12 (09) : 455 - 460
  • [43] Fault Diagnosis based on Wavelet Entropy Feature Extraction and Information Fusion
    Vazifeh, MohammadReza
    Abadi, Farzaneh Abbasi Hossein
    2015 2ND INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING ICISCE 2015, 2015, : 234 - 238
  • [44] Based on Information Fusion Integrated Wavelet Neural Network Fault Diagnosis
    Cui, Dongyan
    Xie, Zaixing
    ADVANCED RESEARCH ON INFORMATION SCIENCE, AUTOMATION AND MATERIAL SYSTEM, PTS 1-6, 2011, 219-220 : 1077 - +
  • [45] Study of image fusion based on wavelet analysis
    Wang, SenHua
    Li, JianPing
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE INFORMATION COMPUTING AND AUTOMATION, VOLS 1-3, 2008, : 1303 - 1306
  • [46] Fault Classification Method for Inverter Based on Hybrid Support Vector Machines and Wavelet Analysis
    Hu, Zhi-kun
    Gui, Wei-hua
    Yang, Chun-hua
    Deng, Peng-cheng
    Ding, Steven X.
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2011, 9 (04) : 797 - 804
  • [47] Fault classification method for inverter based on hybrid support vector machines and wavelet analysis
    Zhi-kun Hu
    Wei-hua Gui
    Chun-hua Yang
    Peng-cheng Deng
    Steven X. Ding
    International Journal of Control, Automation and Systems, 2011, 9 : 797 - 804
  • [48] A Fault Diagnosis Method of Rolling Bearing Based on Wavelet Packet Analysis and Deep Forest
    Li, Xiangong
    Zhang, Yuzhi
    Wang, Fuqi
    Sun, Song
    SYMMETRY-BASEL, 2022, 14 (02):
  • [49] Evaluation of a new proposal for an arcing fault detection method based on wavelet packet analysis
    Lazkano, A
    Ruiz, J
    Aramendi, E
    Leturiondo, LA
    EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, 2004, 14 (03): : 161 - 174
  • [50] A method of bearing fault feature extraction based on improved wavelet packet and hilbert analysis
    Yang J.
    Yao D.
    Cai G.
    Liu H.
    Zhang J.
    International Journal of Digital Content Technology and its Applications, 2010, 4 (04) : 127 - 139