Feature extraction method for ultrasonic pipeline defects based on fractional-order VMD
Author:
Affiliation:
1. School of Mechanical Engineering, Southwest Petroleum University, Chengdu, China
Funder
no funding associated with the work featured in this article
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/10589759.2024.2367153
Reference32 articles.
1. Failure classification in natural gas pipe-lines using artificial intelligence: A case study
2. Ibukun GA, Ayodeji KM, Aliu A. ‘Emerging technologies and systems for gas pipeline leak detection[A]’, [C]; Pipelines Conference. 2020.
3. Measurement of the ultrasonic scattering matrices of near-surface defects using ultrasonic arrays
4. Feature Extraction Using Parameterized Multisynchrosqueezing Transform
5. Time–frequency Wiener filtering for structural noise reduction
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