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Title: Analysis Of The Sensor Signal From A Turbine Flowmeter To Recover Information Regarding The Flow Regimes
Author: M.Pusayatanont, E.H Higham, P.J Unsworth
Source: Flomeko 2003
Year Published: 2003
Abstract: The paper discusses the identification of turbine flowmeter fault conditions by recovering additional information from the unconditioned sensor signal. Turbine flowmeters are characterised by their high accuracy, excellent repeatability, good linearity and wide operating range. However, they are very sensitive to the change of flow regime and system conditions, which can degrade the flowmeter performance and, in particular, the accuracy of measurement. Four general fault conditions - erosion or damaged of the rotor blades, swirling flow, pulsating flow and two-phase flow - have been simulated and studied. The laboratory experiments provide very strong evidence that there is much useful information embedded in the sensor signal that can be recovered and used to identify the operational status of the flowmeter. The experimental results show that additional information regarding attributes and features of flowmeter itself, as well as its operational status and the condition of the flow regime in which it is operating, can be recovered by analysis of the unconditioned sensor signal.

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