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This paper presents the monitoring architecture and experience gained in a pilot distribution grid designed for continuous control of insulation condition of the grid by means of PD measurements. Powerful data processing tools are used for the discrimination of PD pulses from background noise, for locating different PD sources, for clustering PD sources and for identification of the defect associated to each PD source.

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Absfracl-The galvanising process is usually complex and difficult to model. However, as a result of production requirements this process usually works on a reduced set of working points leading to process data with a cluster structure. An accurate description of process data can be given at a low computational cost by specifically assigning a local model to each cluster in process data space. This paper describes a virtual sensor design for coating thickness estimation in a hot dip galvanising line based on local models using SOM and G R " neural networks.