IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i18p6554-d909539.html
   My bibliography  Save this article

A Fast Signal-Processing Method for Electromagnetic Ultrasonic Thickness Measurement of Pipelines Based on UKF and SMO

Author

Listed:
  • Huichao Zhu

    (School of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China
    Hubei Key Laboratory of Modern Manufacturing Quality Engineering, Wuhan 430068, China)

  • Jun Tu

    (School of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China
    Hubei Key Laboratory of Modern Manufacturing Quality Engineering, Wuhan 430068, China)

  • Chen Cai

    (Wuhan Second Ship Design and Research Institute, Wuhan 430064, China)

  • Zhiyang Deng

    (School of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China
    Hubei Key Laboratory of Modern Manufacturing Quality Engineering, Wuhan 430068, China)

  • Qiao Wu

    (School of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China
    Hubei Key Laboratory of Modern Manufacturing Quality Engineering, Wuhan 430068, China)

  • Xiaochun Song

    (School of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China
    Hubei Key Laboratory of Modern Manufacturing Quality Engineering, Wuhan 430068, China)

Abstract

Electromagnetic ultrasonic testing technology has advantages in measuring the thickness of pipelines in service. However, the ultrasonic signal is susceptible to corrosions on the internal and external surfaces of the pipeline. Since the electromagnetic ultrasonic signal is nonlinear, and a dynamic model is difficult to establish accurately, in this paper, a new unscented Kalman filter (UKF) method based on a sliding mode observer (SMO) is proposed. The experiments, conducted on five different testing samples, validate that the proposed method can effectively process the signals drowned in noise and accurately measure the wall thickness. Compared with FFT and UKF, the signal-to-noise ratio of the signals processed by SMO–UKF shows a maximum increase of 155% and 171%. Meanwhile, a random assignment method is proposed for the self-regulation of hyper parameters in the process of Kalman filtering. Experimental results show that the automatic adjustment of hyper parameters can be accomplished in finite cycle numbers and greatly shortens the overall filtering time.

Suggested Citation

  • Huichao Zhu & Jun Tu & Chen Cai & Zhiyang Deng & Qiao Wu & Xiaochun Song, 2022. "A Fast Signal-Processing Method for Electromagnetic Ultrasonic Thickness Measurement of Pipelines Based on UKF and SMO," Energies, MDPI, vol. 15(18), pages 1-14, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6554-:d:909539
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/18/6554/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/18/6554/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6554-:d:909539. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.