Feature extraction of AC square wave.SAW arc characteristics using improved Hilbert-Huang transformation and energy entropy

被引：20
|
作者：
He, Kuanfang [1 ]
Zhang, Zhuojie [1 ]
Xiao, Siwen [1 ]
Li, Xuejun [1 ]
机构：
[1] Hunan Univ Sci & Technol, Hunan Prov Key Lab Hlth Maintenance Mech Equipmen, Xiantan 411201, Peoples R China
来源：
MEASUREMENT | 2013年 / 46卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Alternating current square wave submerged arc welding; Arc current; Improved Hilbert-Huang transform; Energy entropy; QUALITY;
D O I：
10.1016/j.measurement.2012.12.010
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In order to extract the arc feature information related to welding quality in alternating current square wave submerged arc welding (AC Square Wave SAW), an improved Hilbert-Huang transform (HHT) is put forward to investigate the time frequency distribution of arc current, and the energy entropy is employed to quantitatively judge the arc characteristics. The empirical mode decomposition (EMD) is used to decompose the collected current signal into a number of Intrinsic Mode Functions (IMFs). The method for removing the high frequency and undesirable low-frequency IMFs is proposed by using the correlation coefficient of the IMF and the original signal as criterion, and the valid IMFs are selected for the Hilbert transform and energy entropy calculation. The improved HHT combining with energy entropy can quantitatively describe the time frequency energy distribution characteristics of the arc current signal at different duty cycle, frequency and welding speed. Experimental results are provided to confirm the effectiveness of this approach to extract the arc physical information related to welding quality. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1385 / 1392
页数：8
相关论文
共 22 条
  • [1] Underwater target feature extraction using Hilbert-Huang transform
    Li, Xiu-Kun
    Xie, Lei
    Qin, Yu
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2009, 30 (05): : 542 - 546
  • [2] Feature extraction of AE characteristics in offshore structure model using Hilbert-Huang transform
    Lin, Li
    Chu, Fulei
    MEASUREMENT, 2011, 44 (01) : 46 - 54
  • [3] Lamb Wave Arrival Time Extraction Using Hilbert-Huang Transform for Improved Tomography Image
    张海燕
    孙修立
    樊仕轩
    JournalofDonghuaUniversity(EnglishEdition), 2009, 26 (05) : 503 - 508
  • [4] Lamb wave arrival time extraction using Hilbert-Huang transform for improved tomography image
    Zhang, Hai-Yan
    Sun, Xiu-Li
    Fan, Shi-Xuan
    Journal of Donghua University (English Edition), 2009, 26 (05) : 503 - 508
  • [5] Analysis of transformer core vibration characteristics using hilbert-huang transformation
    Xiong, Weihua
    Zhao, Guangzhou
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2006, 21 (08): : 9 - 13
  • [6] Feature extraction of ultrasonic flaw signals of pipelines using Hilbert-Huang transform
    Zhang Qi
    Que Pei-wen
    Mao Yi-mei
    CISP 2008: FIRST INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOL 5, PROCEEDINGS, 2008, : 156 - 160
  • [7] Feature Extraction Using Hilbert-Huang Transform for Power System Oscillation Measurements
    Munir, Buyung Sofiarto
    Reza, Muhamad
    Trisetyarso, Agung
    Abbas, Bahtiar Saleh
    2017 4TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY, COMPUTER, AND ELECTRICAL ENGINEERING (ICITACEE), 2017, : 93 - 96
  • [8] Signal feature extraction from microbarograph observations using the Hilbert-Huang transform
    Roy, Amab
    Wen, Chun-Hsien
    Doherty, John F.
    Mathews, John D.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2008, 46 (05): : 1442 - 1447
  • [9] Feature Extraction of Low Frequency Oscillation in Power System Using Hilbert-Huang Transform
    Munir, Buyung Sofiarto
    Trisetyarso, Agung
    Reza, Muhamad
    Abbas, Bahtiar Saleh
    TEM JOURNAL-TECHNOLOGY EDUCATION MANAGEMENT INFORMATICS, 2019, 8 (01): : 12 - 17
  • [10] Mixing Transition Characteristics of Binary Particles in a Fluidized Bed Using the Hilbert-Huang Transformation
    Zhao, Yunxiang
    Zhang, Lihui
    Duan, Feng
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2021, 60 (49) : 18058 - 18072
123