Abstract
The chapter analyzes condition monitoring and fault diagnosis for components of the electric power transmission and distribution system. First, neural modelling and the local statistical approach to fault diagnosis is used for incipient fault detection and isolation in power transformers. Next, the chaapter proposes distributed nonlinear filtering for condition monitoring of the power distribution system and for the detection of changes in the quality of the provided electric power (voltage sags, change of harmonics, etc.).
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