Table 1 - uploaded by Yi-Huan Kao
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Source publication
Coriolis flow meter is widely used to measure the mass flow rate in many fields of research and industry because of its highly accurate measurement performance and superbly repeatable characteristic. The working principle of Coriolis flowmeter relies on the Coriolis Effect generated by the fluid flowing through the vibrating tubes. Therefore, the m...
Context in source publication
Context 1
... impact of vibration could be even more significant when the vibration source, as a further partially closed valve in this study, moves closer to the tested flow meter. The performance benchmark of the tested Coriolis flow meter accompanied with an upstream ball valve is tabulated in Table 1. ...
Citations
Filtering is the process of defining, recognizing, and correcting flaws in given data so that the influence of inaccuracies in input data on subsequent studies is minimized. This paper aims to discuss the characteristics of some filtering methods from various topics. Wavelet transform and frequency (Fourier) transform are considered for the decomposition methodologies whereas descriptive statistics is used for the statistical methodology. The Kalman filter and autoencoder neural network are also explored for the predictive methodologies. All the aforementioned methodologies are discussed empirically using two metrics of R-squared and mean absolute error. This paper aims to study the effectiveness of these filtering techniques in filtering noisy data collected from mass flowmeter reading in an unconventional situation i.e., on a tugboat while in operation to measure fuel consumption. Finally, the performance of various filtering methods is assessed, and their effectiveness in filtering noisy data is compared and discussed. It is found that the Haar wavelet transforms, Kalman filter and the descriptive statistics have a better performance as compared to their counterparts in filtering out spikes found in the mass flow data.
