Nonlinear Vibration Fault Diagnosis of Hydroelectric Generator Based on Multi-Scale Wavelet

被引:0
|
作者
Zhu, Wenliang [1 ]
Sun, Songli [2 ]
Qu, Zhijun [2 ]
机构
[1] Hohai Univ, Engn Res Ctr Dredging Technol, Nanjing, Peoples R China
[2] Nanjing Univ Sci & Technol, Taizhou Inst SCI & TECH, Taizhou, Peoples R China
来源
2015 SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP) | 2015年
关键词
nonlinear; vibration; fault; diagnosis; wavelet;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The nonlinear vibration fault of hydroelectric generating set was common, and it was a major cause of leading to instability of hydroelectric generator system. This paper took the nonlinear vibration fault of hydroelectric generator as the research object, and simulated Benily hydroelectric generator test rig. Wavelet transform method was applied to analyze the hydroelectric generator vibration signal, and research in view of extracting the features of the nonlinear vibration fault. This article applied the method of multi-scale wavelet to study nonlinear vibration problems of hydroelectric generating set, and the results showed that the multi-scale wavelet method can achieve the diagnosis of friction fault.
引用
收藏
页码:426 / 430
页数:5
相关论文
共 50 条
  • [21] A new weak fault diagnosis method based on multi-scale wavelet noise tuning cascaded multi-stable stochastic resonance
    Han, Dongying
    An, Shujun
    Shi, Peiming
    Zhang, Ying
    JOURNAL OF VIBROENGINEERING, 2018, 20 (01) : 258 - 271
  • [22] Multi-Scale Noise Reduction Based Wavelet
    Li, Ruixian
    GREEN POWER, MATERIALS AND MANUFACTURING TECHNOLOGY AND APPLICATIONS III, PTS 1 AND 2, 2014, 484-485 : 896 - 901
  • [23] Edge detection based on multi-scale wavelet
    Wu, Tingwan
    Duan, Yihui
    Liu, Baoliang
    INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND PATTERN RECOGNITION IN INDUSTRIAL ENGINEERING, 2010, 7820
  • [24] Multi-scale Battery Modeling Method for Fault Diagnosis
    Shichun Yang
    Hanchao Cheng
    Mingyue Wang
    Meng Lyu
    Xinlei Gao
    Zhengjie Zhang
    Rui Cao
    Shen Li
    Jiayuan Lin
    Yang Hua
    Xiaoyu Yan
    Xinhua Liu
    Automotive Innovation, 2022, 5 : 400 - 414
  • [25] Multi-scale Battery Modeling Method for Fault Diagnosis
    Yang, Shichun
    Cheng, Hanchao
    Wang, Mingyue
    Lyu, Meng
    Gao, Xinlei
    Zhang, Zhengjie
    Cao, Rui
    Li, Shen
    Lin, Jiayuan
    Hua, Yang
    Yan, Xiaoyu
    Liu, Xinhua
    AUTOMOTIVE INNOVATION, 2022, 5 (04) : 400 - 414
  • [26] Nonlinear Process Fault Detection Based on Multi-Scale Sparse Kernel Classifier
    Deng, Xiaogang
    Tian, Xuemin
    PROCEEDINGS OF 2013 CHINESE INTELLIGENT AUTOMATION CONFERENCE: INTELLIGENT AUTOMATION, 2013, 254 : 161 - 168
  • [27] Fault Diagnosis for Railway Point Machines Using VMD Multi-Scale Permutation Entropy and ReliefF Based on Vibration Signals
    Sun, Yongkui
    Cao, Yuan
    Li, Peng
    Su, Shuai
    CHINESE JOURNAL OF ELECTRONICS, 2025, 34 (01) : 204 - 211
  • [28] Fault Diagnosis for Railway Point Machines Using VMD Multi-Scale Permutation Entropy and ReliefF Based on Vibration Signals
    Yongkui Sun
    Yuan Cao
    Peng Li
    Shuai Su
    Chinese Journal of Electronics, 2025, 34 (01) : 204 - 211
  • [29] Feature extraction and fault diagnosis of wind power generator vibration signals based on empirical wavelet transform
    Chen, Xuejun
    Yang, Yongming
    Yang, Ning
    JOURNAL OF VIBROENGINEERING, 2017, 19 (03) : 1745 - 1758
  • [30] Bearing Fault Diagnosis Based on Multi-Scale Convolution Neural Network and Dropout
    Liu, Xiande
    Tian, Hui
    Dai, Zuojun
    PROCEEDINGS OF 2020 IEEE 4TH INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2020), 2020, : 1401 - 1406