Peer-Reviewed Journal Details
Mandatory Fields
Lyons, WB; Ewald, H; Flanagan, C; Lochmann, S; Lewis, E
Measurement Science & Technology
A neural networks based approach for determining fouling of multi-point optical fibre sensors in water systems
Optional Fields
distributed optical fibre sensors OTDR evanescent wave pattern recognition neural networks sensors optical fibre FIELD ABSORPTION SENSOR U-SHAPED PROBE SENSITIVITY RANGE
An optical fibre sensor system for monitoring contamination in water supplies is presented. The sensor comprises a number of individual sensor elements on a single fibre loop. It is addressed using optical time domain reflectometry so that the required spatial resolution of 1 metre is achieved. Analysis of the signals at the receiving end is performed using artificial neural networks coupled with pattern recognition techniques, thus allowing external influences such as the degree of sensor fouling to be detected. In this investigation limescale build-up in hard water is investigated as the interfering parameter.
Grant Details