The research on transformer fault diagnosis method based on vibration and noise voiceprint imaging technology

被引:0
|
作者
Yu, Zhangting [1 ]
Li, Dajian [1 ]
Chen, Liangyuan [1 ]
Yan, Haijun [1 ]
机构
[1] Elect Power Res Inst Guangxi Power Grid Co Ltd, Equipment Monitoring & Evaluat Ctr, Nanning, Peoples R China
来源
PROCEEDINGS OF THE 2019 14TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2019) | 2019年
关键词
Transformer; Fault diagnosis; Vibration; Noise voiceprint;
D O I
10.1109/iciea.2019.8833675
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Vibration signal analysis and noise voiceprint imaging is an effective method to detect the mechanical condition of transformer winding and iron core. The analysis of vibration signal and noise voiceprint imaging is of great importance to transformer fault diagnosis. Based on the analysis of the vibration and noise mechanism of the transformer core and winding, a 110kV transformer is measured with the established vibration measurement system. According to the analysis of the fundamental frequency amplitude, the main frequency, frequency ratio, vibration entropy, the ratio of odd and even harmonic, the voiceprint imaging analysis, concludes that the C phase high level bushing is abnormal, verify the effectiveness of the proposed diagnostic technique.
引用
收藏
页码:216 / 221
页数:6
相关论文
共 50 条
  • [41] Improved method for transformer fault diagnosis based on DGA
    Dong, Ming
    Zhao, Wenbin
    Yan, Zhang
    Gaodianya Jishu/High Voltage Engineering, 2002, 28 (04):
  • [42] Fault diagnosis method of transformer based on rough sets
    School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
    Yi Qi Yi Biao Xue Bao, 2006, SUPPL. (385-386):
  • [43] Research on Fault Identification and Diagnosis Technology of Substation Distribution Transformer Based on Improved Genetic Algorithm
    Sun, Wenchuan
    Shen, Diantao
    Wang, Yi
    Wu, Zhe
    Qiu, Chen
    Fu, Le
    PROCEEDINGS OF 2022 12TH INTERNATIONAL CONFERENCE ON POWER, ENERGY AND ELECTRICAL ENGINEERING (CPEEE 2022), 2022, : 136 - 142
  • [44] The Research and Application of Ultrasonic Imaging Technology in Transformer Internal Fault Detection
    Wang, Zhipeng
    Wang, Xuan
    Wang, Tianzheng
    Yu, Hua
    Jin, Tao
    2015 5TH INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES (DRPT 2015), 2015, : 1795 - 1799
  • [45] Winding fault diagnosis of power transformer based on vibration distribution features
    Yang Y.
    Liu S.
    Zhang C.
    Han D.
    Meng Y.
    Hu Y.
    Zheng J.
    Huang H.
    Hu, Yiwei, 1600, Chinese Vibration Engineering Society (39): : 199 - 208
  • [46] Power Transformer Fault Diagnosis Based on Controlled Switching Vibration Analysis
    Hu, Yiwei
    Huang, Hai
    Zheng, Jing
    Li, Lingzhi
    PROCEEDINGS OF THE 2019 14TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2019), 2019, : 678 - 683
  • [47] TRANSFORMER FAULT DIAGNOSIS AND LOCATION METHOD BASED ON FAULT TREE ANALYSIS
    Wu, Zhiwu
    Huang, Tianfu
    Wang, Chunguang
    Wu, Xiang
    Tu, Yanzhao
    SCALABLE COMPUTING-PRACTICE AND EXPERIENCE, 2024, 25 (05): : 3587 - 3593
  • [48] Research on design method of metamaterial sound field control barrier based on transformer vibration and noise
    Zhao, Xinzhe
    Shuai, Zhibin
    Zhang, Yifeng
    Liu, Zijian
    ENERGY REPORTS, 2022, 8 : 1080 - 1089
  • [49] Mechanical Fault Diagnosis of GIS Circuit Breakers Based on Voiceprint
    Li K.
    Yao Z.
    Wang X.
    Gu J.
    Su L.
    Xue Z.
    Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2023, 43 (05): : 866 - 871
  • [50] Novel Fault Diagnosis Method for Rolling Bearing Based on Voiceprint Recognition With FasterNet-CAM
    Wang, Puzhou
    Lin, Yanghui
    Li, Yejun
    Li, Yin
    Gu, Yingkui
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2025,