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    Band-Stop Filtering Method of Combining Functions of Butterworth and Hann Windows to Ultrasonic Guided Wave

    Source: Journal of Pipeline Systems Engineering and Practice:;2021:;Volume ( 013 ):;issue: 001::page 04021076
    Author:
    Guolei Zheng
    ,
    Yimei Tian
    ,
    Weigao Zhao
    ,
    Shichao Jia
    ,
    Nan He
    DOI: 10.1061/(ASCE)PS.1949-1204.0000621
    Publisher: ASCE
    Abstract: In view of the presence of a large amount of noise in the measured ultrasonic signals and the small contribution of existing filtering methods to the improvement of the signal-to-noise ratio (SNR), the band-stop filtering method of the combining functions of the Butterworth and Hann windows (B–H band-stop filtering method) to ultrasonic guided waves was developed by analyzing the spectral features of the ideal and measured ultrasonic signals after the discrete Fourier transform has been applied. Its application to a measured signal explained the B–H band-stop filtering method more clearly, and indicated the feasibility to maximum noise removal. The application of the method for structural-damage localization proved that the method had the advantages of greatly reducing noise; hence, the maximum value of the Wigner–Ville distribution (WVD) could be identified more easily and the localization accuracy was improved. Compared with the Butterworth band-stop filtering method and the extended Kalman filtering method, the B–H band-stop filtering method has the best characteristics in terms of improving the SNR of signals, the clarity of the WVD of the effective signals, and the damage-localization accuracy.
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      Band-Stop Filtering Method of Combining Functions of Butterworth and Hann Windows to Ultrasonic Guided Wave

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4282210
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    contributor authorGuolei Zheng
    contributor authorYimei Tian
    contributor authorWeigao Zhao
    contributor authorShichao Jia
    contributor authorNan He
    date accessioned2022-05-07T20:16:31Z
    date available2022-05-07T20:16:31Z
    date issued2021-11-09
    identifier other(ASCE)PS.1949-1204.0000621.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4282210
    description abstractIn view of the presence of a large amount of noise in the measured ultrasonic signals and the small contribution of existing filtering methods to the improvement of the signal-to-noise ratio (SNR), the band-stop filtering method of the combining functions of the Butterworth and Hann windows (B–H band-stop filtering method) to ultrasonic guided waves was developed by analyzing the spectral features of the ideal and measured ultrasonic signals after the discrete Fourier transform has been applied. Its application to a measured signal explained the B–H band-stop filtering method more clearly, and indicated the feasibility to maximum noise removal. The application of the method for structural-damage localization proved that the method had the advantages of greatly reducing noise; hence, the maximum value of the Wigner–Ville distribution (WVD) could be identified more easily and the localization accuracy was improved. Compared with the Butterworth band-stop filtering method and the extended Kalman filtering method, the B–H band-stop filtering method has the best characteristics in terms of improving the SNR of signals, the clarity of the WVD of the effective signals, and the damage-localization accuracy.
    publisherASCE
    titleBand-Stop Filtering Method of Combining Functions of Butterworth and Hann Windows to Ultrasonic Guided Wave
    typeJournal Paper
    journal volume13
    journal issue1
    journal titleJournal of Pipeline Systems Engineering and Practice
    identifier doi10.1061/(ASCE)PS.1949-1204.0000621
    journal fristpage04021076
    journal lastpage04021076-11
    page11
    treeJournal of Pipeline Systems Engineering and Practice:;2021:;Volume ( 013 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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