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| Research on online performance evaluation method of ultrasonic gas flowmeter |
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Abstract In this paper, a new method of on-line evaluation of ultrasonic flowmeter performance based on Bayesian information fusion is proposed. The principle is to establish a change point detection model based on Bayesian information fusion method, obtain the change trend of measurement data, and realize the real-time performance evaluation of ultrasonic flowmeter. The specific implementation process is to combine the prior information with the real-time sample information and iteratively update the posterior distribution, where the posterior standard deviation in the posterior distribution is the real-time uncertainty of the instrument. Compared with the traditional uncertainty evaluation method, this method integrates real-time measurement information, which can continuously evaluate the uncertainty of the instrument in real time, monitor the operation of the entire measurement system of the ultrasonic flowmeter, and find out the abnormal working conditions in time, and realize the online evaluation of the flowmeter performance. This provides a new method and way for online monitoring of ultrasonic flowmeter, so as to improve the quality and efficiency of industrial production.
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Received: 11 April 2024
Published: 26 September 2024
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2024, Vol. 45 
