Abstract
The signal taken directly from the sensor used in an industrial vortex flowmeter is processed so as to discern the effects of various process conditions on the measurement signal. A mathematical model of how the signal is generated in the vortex flowmeter is derived on the basis of these observations. The model has been used to predict the form of the signal from the flowmeter operating under various flow conditions. The spectrum of the predicted data has been analyzed and the results compared to corresponding results obtained using practical data from an actual flowmeter installed in a flow loop. The implication of this study is that signal processing and system identification techniques can be applied to enhance the quality of the measurement information provided to a supervisory control system. >
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