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    Volume 46, Issue 6 (November 2018)

    Characteristic Analysis of Welding Crack Acoustic Emission Signals Using Synchrosqueezed Wavelet Transform

    (Received 25 October 2016; accepted 6 July 2017)

    Published Online: 2018

    CODEN: JTEVAB

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    Abstract

    The synchrosqueezed wavelet transform (SST) is introduced to conduct analysis and processing of the acoustic emission (AE) signal in the welding process. The energy distribution of the signal in the time-scale plane is compressed and reorganized by SST, which obtains the time-frequency diagram of the AE signal. Meanwhile, the correlation coefficient is introduced as the criterion for removing the undesirable frequency components, which can effectively eliminate the noise and retain the characteristics of the welding crack AE signal. The test experiment of the AE signals in the welding process is designed. The time-frequency distribution characteristics of the AE signals in the welding process are described and extracted by SST, which is characterized by high aggregation and prominent instantaneous frequency information. Experimental results are provided to confirm the effectiveness of this approach to extract the AE signal physical information related to the welding crack.

    Author Information:

    He, Kuanfang
    Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan

    Li, Qi
    Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan

    Yang, Qing
    Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan


    Stock #: JTE20170218

    ISSN:0090-3973

    DOI: 10.1520/JTE20170218

    Author
    Title Characteristic Analysis of Welding Crack Acoustic Emission Signals Using Synchrosqueezed Wavelet Transform
    Symposium ,
    Committee A01