The Interrogation of Multipoint Fibre Optic Sensor Signals Utilising Artificial Neural Network Pattern Recognition Techniques

摘要

An optical fibre multipoint sensor system incorporating multiple (3) U-bend sensors is presented which is capable of detecting contaminants in water and depositions by coating on its surface. Interrogation of the data arising from the sensor is achieved using Artificial Neural Networks (ANN) pattern recognition. The system described is therefore capable of measurement at multiple points on a single fibre loop. It is also capable of recognising cross-sensitivity from interfering parameters such as lime scale coating in hard water and the presence of other species e.g. alcohol in the water. The signal analysis is performed using Artificial Neural Networks which allows classification of the samples under test, thus allowing the true measurand to be recognised.