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Enhancement of the accuracy of ultrasonic flowmeters by applying the PCA algorithm in predicting flow patterns
Measurement Science and Technology ( IF 2.7 ) Pub Date : 2021-05-18 , DOI: 10.1088/1361-6501/abf95d
Ngoctan Tran , Chi-Chuan Wang

In the current study, a novel arrangement of acoustic paths with an on-off technique upon ultrasonic waves is proposed to enhance the accuracy and reduce the frequency of calibration of the ultrasonic flowmeter (USFM). In addition, a web of chord probes on the velocity profile with a novel rotating method is also proposed. Twenty velocity profiles, including 19 selected Salami asymmetric velocity profiles and a centrosymmetric developed velocity profile, are combined with the proposed chord-probe mesh to build a novel velocity database. The built database includes 2241 900 sets of 12 mean velocities, ranging from 0.1 m s−1 to 25 m s−1. Furthermore, the principal component analysis algorithm is employed and trained by the developed database to predict the flow patterns in a practically flowing measurement. The predictive ability of the developed algorithm is examined in 10 different scenarios. In all cases in this study, it is found that the proposed USFM can not only measure the volumetric flow rate of the asymmetric flows with extremely high accuracy, but can also eliminate the influences of flow regimes and the effects of the installed location.



中文翻译:

通过应用 PCA 算法预测流型来提高超声波流量计的精度

在当前的研究中,提出了一种采用超声波开关技术的新型声路布置,以提高超声波流量计 (USFM) 的校准精度并降低校准频率。此外,还提出了一种新型旋转方法在​​速度剖面上的弦探针网。20 个速度剖面,包括 19 个选定的意大利腊肠非对称速度剖面和一个中心对称发展的速度剖面,与提议的弦探针网格相结合,以建立一个新的速度数据库。建立的数据库包括2241 900组12个平均速度,范围从0.1 ms -1到25 ms -1. 此外,开发的数据库采用主成分分析算法并对其进行训练,以预测实际流动测量中的流动模式。所开发算法的预测能力在 10 种不同的场景中进行了检查。在本研究的所有情况下,发现所提出的 USFM 不仅可以以极高的精度测量非对称流的体积流量,而且还可以消除流态的影响和安装位置的影响。

更新日期:2021-05-18
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