Use of wavelet and neural network (BPFN) for transformer fault diagnosis

被引：0
|
作者：
Babu, Ch. Prasanth [1 ]
kalavathi, M. Surya [1 ]
Singh, B. P. [2 ]
机构：
[1] JNTU, Coll Engn Kukatpally, Hyderabad, Andhra Pradesh, India
[2] BHEL Corp R&D, Hyderabad, Andhra Pradesh, India
来源：
2006 ANNUAL REPORT CONFERENCE ON ELECTRICAL INSULATION AND DIELECTRIC PHENOMENA | 2006年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper investigates the application of wavelet analysis technique to transformer fault diagnosis using Artificial Neural Network. Wavelets provide an efficient means of decomposing voltage and current signals to a detectable and discriminate features as it convolutes into different frequency components. it is being found that neural network is the most suitable tool for fault identification as it can recognize the hidden relationship between the fault status and some symptoms and predict the fault of a new sample based on previous knowledge. For the purpose of fault signal acquisition like winding-to-winding, winding-to-ground, disc-to-disc, turn-to-turn a 61mva, 11.5/230 kV transformer is used.
引用
收藏
页码：93 / 96
页数：4
相关论文
共 50 条
  • [1] Fault diagnosis of transformer based on fuzzy clustering and the optimized wavelet neural network
    Teng, Wenhui
    Fan, Shuxian
    Gong, Zheng
    Jiang, Wen
    Gong, Maofa
    SYSTEMS SCIENCE & CONTROL ENGINEERING, 2018, 6 (03): : 359 - 363
  • [2] Wavelet Neural Network Based Transformer Fault Diagnosis Using Particle Swarm Optimization
    Wu Zhongli
    Dong Xing
    Wang Dongfeng
    Zhu Yongli
    Han Pu
    SYSTEMS, ORGANIZATIONS AND MANAGEMENT: PROCEEDINGS OF THE 3RD WORKSHOP OF INTERNATIONAL SOCIETY IN SCIENTIFIC INVENTIONS, 2009, : 64 - 69
  • [3] Artificial neural network for transformer fault diagnosis
    Yang, Qiping
    Xue, Wude
    Lan, Zhida
    Bianyaqi/Transformer, 2000, 37 (03): : 33 - 36
  • [4] Wavelet fuzzy neural network for fault diagnosis
    Guo, QJ
    Yu, HB
    Xu, AD
    2005 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS, VOLS 1 AND 2, PROCEEDINGS: VOL 1: COMMUNICATION THEORY AND SYSTEMS, 2005, : 993 - 998
  • [5] Application of artificial neural network to transformer fault diagnosis
    Gaodianya Jishu, 3 (21-22, 26):
  • [6] An artificial neural network approach to transformer fault diagnosis
    Zhang, Y
    Ding, X
    Liu, Y
    Griffin, PJ
    IEEE TRANSACTIONS ON POWER DELIVERY, 1996, 11 (04) : 1836 - 1841
  • [7] A neural network approach to power transformer fault diagnosis
    Yang, F
    Xi, J
    Lan, ZD
    ICEMS 2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS, VOLS 1 AND 2, 2003, : 351 - 354
  • [8] The fault diagnosis of transformer Based on the SOM neural network
    Yang Cunxiang
    Bao Hao
    2013 FIFTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2013), 2013, : 1178 - 1180
  • [9] Improved BP Neural Network for Transformer Fault Diagnosis
    SUN Yan-jing
    Journal of China University of Mining & Technology, 2007, (01) : 138 - 142
  • [10] Motor Fault Diagnosis based on wavelet neural network
    Ying, Xu Li
    Lan, Wang Nan
    ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL II, PROCEEDINGS, 2009, : 553 - +
12345