Extension of measurable velocity limit of ultrasonic velocity profiling based on phase difference gradient analysis

Abstract A signal processing method, called the ultrasonic cross-spectrum method, is proposed to extend the measurable velocity limit of ultrasonic velocity profiling. It focuses on the phase difference spectrum within the signal bandwidth and extends the velocity limit by analyzing its gradient. The algorithmic performance is confirmed via echo signal simulation and experimental pipe flow measurement. Consequently, setting a threshold for the coefficient of determination for phase-difference spectrum fitting enables us to reduce the false velocity detection rate to <1.6% and achieve an effective data rate of 42% in low signal-to-noise ratio conditions. This data rate is twice that of a conventional method. Moreover, a comparison of pipe flow results between our method and particle image velocimetry shows that the velocity data difference is within ±2% for a velocity range twice the conventional measurable velocity limit. In short, we demonstrate the potential of this method for high-performance velocity profiling.

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Publication Details

Journal
Measurement Science and Technology
Published
2024-12-27
DOI
https://doi.org/10.1088/1361-6501/ada39d
Primary Topic
Flow Measurement and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Extension of measurable velocity limit of ultrasonic velocity profiling based on phase difference gradient analysis

Naruki Shoji
Measurement Science and Technology
Flow Measurement and Analysis
article

Extension of measurable velocity limit of ultrasonic velocity profiling based on phase difference gradient analysis

Naruki Shoji
article en

Abstract

Abstract A signal processing method, called the ultrasonic cross-spectrum method, is proposed to extend the measurable velocity limit of ultrasonic velocity profiling. It focuses on the phase difference spectrum within the signal bandwidth and extends the velocity limit by analyzing its gradient. The algorithmic performance is confirmed via echo signal simulation and experimental pipe flow measurement. Consequently, setting a threshold for the coefficient of determination for phase-difference spectrum fitting enables us to reduce the false velocity detection rate to <1.6% and achieve an effective data rate of 42% in low signal-to-noise ratio conditions. This data rate is twice that of a conventional method. Moreover, a comparison of pipe flow results between our method and particle image velocimetry shows that the velocity data difference is within ±2% for a velocity range twice the conventional measurable velocity limit. In short, we demonstrate the potential of this method for high-performance velocity profiling.

Measurement Science and TechnologyVol. 36(2)
Muroran Institute of Technology (JP)
Japan Society for the Promotion of Science, ACT-X
Affordable and clean energy
Openalex Percentile: Top 73%
Flow Measurement and Analysis
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