Investigation of wind turbine blade ultrasonic pulse-echo signal decomposition based on the matching pursuit algorithm.

  • Published In: Insight: Non-Destructive Testing & Condition Monitoring, 2023, v. 65, n. 3. P. 133 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Ting Li; Jingao Su; Nina Li; Han Xu; Yue Chang 3 of 3

Abstract

The ultrasonic testing method is commonly used to detect the internal defects of wind turbine blades, but difficulty is found in judging the echo position due to the waveform superposition caused by the thin web. In this paper, an improved matching tracking algorithm is proposed to decompose the ultrasonic detection echo of wind turbine blades. This method extracts the time-delay parameter of the echo to estimate the time-of-flight (TOF), which provides the necessary information for further judgement of hidden defects in the wind turbine blades. The effectiveness of the proposed method is verified via simulation experiments and real tests. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Insight: Non-Destructive Testing & Condition Monitoring. 2023/03, Vol. 65, Issue 3, p133
  • Document Type:Article
  • Subject Area:Earth and Atmospheric Sciences
  • Publication Date:2023
  • ISSN:1354-2575
  • DOI:10.1784/insi.2023.65.3.133
  • Accession Number:162529735
  • Copyright Statement:Copyright of Insight: Non-Destructive Testing & Condition Monitoring is the property of British Institute of Non-Destructive Testing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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