Magnetic flowmeter neural-wavelet diagnostics system

Magnetic flow meters (magmeters) are instruments for measuring the velocity of flow in many industrial fields. The signal that comes from a magmeter is noisy and conventional techniques are often not effective enough in dealing with noisy situations. Neural networks have proven capabilities for data handling in noisy circumstances. A novel approach based on wavelet-neural networks is presented. The stability, accuracy and response time characteristics of the presented neural-wavelet approach have been tested and the results are found to be highly promising.