Acoustic Emission Signal Feature Extraction in Rotor Crack Fault Diagnosis

被引:7
|
作者
He, Kuanfang [1 ]
Wu, Jigang [2 ]
Wang, Guangbin [2 ]
机构
[1] Hunan Univ Sci & Technol, Hunan Prov Key Lab Hlth Maintenance Mech Equipmen, Xiantan 411201, Peoples R China
[2] Hunan Univ Sci & Technol, Minist Educ, Engn Res Ctr Adv Mine Equipment, Xiangtan 411201, Peoples R China
基金
中国国家自然科学基金;
关键词
Rotor crack; acoustic emission; wavelet packet; fault diagnosis;
D O I
10.4304/jcp.7.9.2120-2127
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
On the rotor comprehensive fault simulation testbed, characteristics of acoustic emission signal of different crack rotors in various depth and conditions are analyzed by the acoustic emission extraction experiment. The noise-eliminating method of the acoustic emission signal was researched by the wavelet packet technique, the characteristics of acoustic emission signal of the rotor crack was also obtained for fault diagnosis in this paper. The advantages of acoustic emission technique have been highlighted in the early period crack fault diagnosis compared to the vibration method of crack fault diagnosis. The diagnosis results were shown to be quite clear, reliable and accurate.
引用
收藏
页码:2120 / 2127
页数:8
相关论文
共 50 条
  • [1] Research on Feature Extraction Experiment for Acoustic Emission Signal of Rotor Crack Fault
    He, K. F.
    Li, X. J.
    Li, X. C.
    [J]. MECHANICAL ENGINEERING AND GREEN MANUFACTURING, PTS 1 AND 2, 2010, : 1005 - 1009
  • [2] The wavelet transform in the acoustic emission signal feature extraction of the rubbing fault
    Jin Zhihao
    Wang Dan
    Jin Wen
    Wen Bangchun
    [J]. FIRST INTERNATIONAL WORKSHOP ON DATABASE TECHNOLOGY AND APPLICATIONS, PROCEEDINGS, 2009, : 283 - +
  • [3] Feature Extraction of Acoustic Emission Signals for Rotor Fault Based on Daubechies Wavelet Analysis
    Yu, Yang
    Yang, Ping
    Yang, Lijian
    [J]. ADVANCED RESEARCH ON ENGINEERING MATERIALS, ENERGY, MANAGEMENT AND CONTROL, PTS 1 AND 2, 2012, 424-425 : 290 - 294
  • [4] Enhanced Feature Extraction Network Based on Acoustic Signal Feature Learning for Bearing Fault Diagnosis
    Luo, Yuanqing
    Lu, Wenxia
    Kang, Shuang
    Tian, Xueyong
    Kang, Xiaoqi
    Sun, Feng
    [J]. SENSORS, 2023, 23 (21)
  • [5] Research of Feature Extraction and Fault Diagnosis for Sensor Signal
    Shan Yu-Gang
    Hu Wei-Guo
    Wang Hong
    Yuan Jie
    [J]. PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE, 2012, : 5412 - 5417
  • [6] Feature Extraction of Rotor Systems with Coupling Fault with Crack and Rub-impact
    Ma, Hui
    Sun, Wei
    Ren, Zhaohui
    Wen, Bangchun
    [J]. PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 4227 - 4231
  • [7] Fault diagnosis of rotor systems Using ICA Based Feature Extraction
    Jiao, Weidong
    Chang, Yongping
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO 2009), VOLS 1-4, 2009, : 1286 - 1291
  • [8] An extraction method of welding crack acoustic emission signal using harmonic analysis
    He, Kuanfang
    Liu, Xiangnan
    Yang, Qing
    Chen, Yong
    [J]. MEASUREMENT, 2017, 103 : 311 - 320
  • [9] Research on Fault Diagnosis of Gearbox Based on Acoustic Emission Signal Monitoring
    Yao, Jun
    Yin, Xianming
    Wang, Yinling
    [J]. 2019 THE 10TH ASIA CONFERENCE ON MECHANICAL AND AEROSPACE ENGINEERING (ACMAE 2019), 2020, 1510
  • [10] Fault Diagnosis of Gear Crack Based on Transient Acoustic Signal and Order Cepstrum
    Tian Hao
    Tang Liwei
    Zheng Haiqi
    Zhang Lei
    Yang Tongqiang
    [J]. PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOLS 1-2, 2008, : 163 - 167