Application of Selected Linear Algebra Processing Methods in the Electromagnetic Flow Measurement for Open Channels

Electromagnetic flowmeters are said to be the best solution in many applications, because they measure the average velocity even when the filling of the channel varies and the local streams fluctuate. Despite the relatively simple principles of operation, the question of which signal processing method can handle flow parameter estimation in a noisy environment is still open. The estimators based on classical signal decomposition, with the use of the Euclidean inner product, have high variances. This paper presents a quantitative comparison of a trial that modifies the inner product in such a way that it would be ldquoblindrdquo to the existing disturbances with the approach based on the extension of the nonorthogonal basis. The presented methods were tested with real signals acquired in an open-channel laboratory model of the electromagnetic flowmeter.