Machine learning for flow field measurements: a perspective Articles uri icon

publication date

  • February 2023

start page

  • 1

end page

  • 16

issue

  • 2

volume

  • 34, 021001

International Standard Serial Number (ISSN)

  • 0957-0233

Electronic International Standard Serial Number (EISSN)

  • 1361-6501

abstract

  • Advancements in machine-learning (ML) techniques are driving a paradigm shift in image
    processing. Flow diagnostics with optical techniques is not an exception. Considering the
    existing and foreseeable disruptive developments in flow field measurement techniques, we
    elaborate this perspective, particularly focused to the field of particle image velocimetry. The
    driving forces for the advancements in ML methods for flow field measurements in recent years
    are reviewed in terms of image preprocessing, data treatment and conditioning. Finally, possible
    routes for further developments are highlighted.

subjects

  • Mechanical Engineering

keywords

  • machine learning; flow-field measurements; image processing; particle image velocimetry