Ultrasonic Fouling Detector Powered by Machine Learning

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Sammanfattning

Guided waves can be used to monitor structural health in industrial pipelines, and e.g. allow detection of accumulated precipitation on the surface of pipe. Propagation of guided waves in a tubular structure carrying possible fouling can be separated from a clean structure due to variation in wave propagation properties at the fouled area. In addition, multiple propagation paths around the tubular structure allow locating the fouled areas. In this study, we obtained dispersion curves of a tubular structure loaded with a local fouling layer of different thickness by using numerical simulations. We combined the dispersion curve information with simulated and measured times-of-arrival of guided wave propagation to second order helicoidal paths and used a Gaussian Process machine learning approach to estimate location of fouling on a steel pipe.
Originalspråkengelska
Titel på gästpublikation2019 IEEE International Ultrasonics Symposium (IUS)
Antal sidor4
FörlagIEEE
Utgivningsdatum2019
Sidor1639-1642
ISBN (tryckt)978-1-7281-4597-6
ISBN (elektroniskt)978-1-7281-4596-9, 978-1-7281-4595-2
DOI
StatusPublicerad - 2019
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangIEEE International Ultrasonics Symposium - Glasgow, Storbritannien
Varaktighet: 6 okt 20199 okt 2019
Konferensnummer: 11
https://attend.ieee.org/ius-2019/

Publikationsserier

NamnIEEE International Ultrasonics Symposium
FörlagIEEE
ISSN (tryckt)1948-5719
ISSN (elektroniskt)1948-5727

Vetenskapsgrenar

  • 113 Data- och informationsvetenskap
  • 114 Fysik
  • 221 Nanoteknologi

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