The emphasis of the research is very much on the practical applications of the techniques which are investigated. As a result the work feeds in to other research areas in the Engineering Research Centre. Intelligent Systems techniques figure heavily in the Intelligent Engine Control Programme . Here they analyse data from a motor-vehicle power plant in order to predict internal engine conditions. The improved sensory information which results can lead to better engine control.
Neural networks are very effective in the analysis and interpretation of complex signals.
They are being applied to Condition Monitoring . For example they are being used in a project to predict incipient failure in turbine flowmeters. A second Condition Monitoring application using neural networks is being investigated in the High Voltage Laboratory . Dielectrics used as insulation on transformers and cables produce characteristic Partial Discharge signatures when subjected to electrical stress. Neural networks are being used to analyse these signatures with the aim of predicting failure before it occurs.