Next generation combined sonic-hotfilm anemometer: wind alignment and automated calibration procedure using deep learning
Roni H. Goldshmid, Ewelina Winiarska, and Dan Liberzon

TL;DR
This paper introduces a next-generation combined sonic-hotfilm anemometer with a 360-degree wind measurement capability and an automated deep learning-based calibration, enabling continuous, real-time turbulent flow data collection in variable environmental conditions.
Contribution
It presents an improved probe design and a fully automated calibration procedure using deep learning, enhancing robustness and operational range for field turbulence measurements.
Findings
Achieved 360-degree wind measurement range.
Demonstrated robust calibration in changing environmental conditions.
Enabled near real-time turbulence data collection.
Abstract
The study of naturally occurring turbulent flows requires ability to collect empirical data down to the fine scales. While hotwire anemometry offers such ability, the open field studies are uncommon due to the cumbersome calibration procedure and operational requirements of hotwire anemometry, e.g., constant ambient properties and steady flow conditions. The combo probe-the combined sonic-hotfilm anemometer developed and tested over the last decade-has demonstrated its ability to overcome this hurdle. The old-er generation had a limited wind alignment range of 120 degrees and the in-situ calibration procedure was human decision based. This study presents the next generation of the combo probe design, and the new fully automated in-situ calibration procedure implementing deep learning. The elegant new design now enables measurements of the incoming wind flow in a 360-degree range. The…
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