A calibration procedure to correct the shadow effect in ultrasonic wind sensors

Ghaemi-Nasab, M.; Franchini, Sebastián; Sorribes-Palmer, Félix; Davari, Ali

doi:10.1016/j.jweia.2018.07.005

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…John C. Wyngaard and Zhang proposed an empirical model to correct for the transducer shadow effect in which two constants must be determined from the best fit of the model with experimental data [8,9]. Ghaemi-Nasab M. fits the compensation function for the path wind speed through a large number of tested data [10]. While in the actual ultrasonic wind speed measurement, the wind speed compensation on the path cannot solve the error of the actual wind speed direction [11].…”

Section: Introductionmentioning

confidence: 99%

Shadow effect compensation method for ultrasonic transducer array model

Yang¹,

Chen²

2019

Vib. proced.

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Although ultrasonic wind meter is widely used in wind speed measurement, the disadvantages of the ultrasonic wind meter structure by its measurement way still exist. The ultrasonic probe will stop on the way of the wind, which in turn produces a shadow area at the back of the probe, probe produce turbulence ahead. Therefore, it will result in error during the process of our normal wind speed measurement. At present, the ultrasonic wind speed Angle compensation formula is deduced by using the wind speed compensation formula on the path. The measurement data and the compensation formula are used for fitting comparison. It is observed that the Angle compensation function of wind and ultrasonic path fits well with the measured data, and the wind speed error after compensation is reduced from 14.65 % to 1.74 %. The modified measurement of accuracy of wind speed and direction can be used in two-dimensional ultrasonic orthogonal wind array model.

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Section: Introductionmentioning

confidence: 99%

Shadow effect compensation method for ultrasonic transducer array model

Yang¹,

Chen²

2019

Vib. proced.

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Compensation Method for Shadow Effect of Mine Ultrasonic Anemometer

Cao

Zhang

et al. 2021

IEEE Access

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The ultrasonic anemometer is widely used in the field of wind speed measurement in the coal mine. To compensate for the error of wind speed caused by the shadow effect, we propose a method based on kernel extreme learning machine combined with particle swarm optimization (PSO-KELM). Firstly, we established and analyzed the simulation experiment by computational fluid dynamics (CFD). Secondly, we used the PSO to optimize the parameters of the KELM. The evaluation indexes of the PSO-KELM on the test set are better than other regression models. Finally, the accuracy of the PSO-KELM was verified by experimental data obtained by the ultrasonic anemometer in the wind tunnel. The results show that the compensation effect of the PSO-KELM is better than other regression models. The PSO-KELM model proposed in the paper can effectively compensate for the error of wind speed, and make the measurement results of the ultrasonic anemometer more accurate.INDEX TERMS ultrasonic anemometer, coal mine, shadow effect, kernel extreme learning machine, error compensation.

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