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Effective implementation of predictive maintenance programs in
power plants requires the online condition monitoring of electrical
generators. This book offers a comprehensive guide on the
measurement, detection, and interpretation of partial discharges in
hydroelectric generators. It covers a range of essential topics
such as the physics of partial discharge phenomenon, various types
of defects and partial discharge patterns, sensors and acquisition
procedures, signal processing techniques, automatic classification
of discharge types, and correlation between partial discharge
occurrence and ozone generation. Numerical modelling of partial
discharges and calculation of the associated radiating
electromagnetic fields are also discussed. To aid understanding,
the book provides theoretical explanations, practical examples, and
functional Python code on Google’s Colaboratory platform. This
book is a valuable resource for anyone seeking a deep understanding
of partial discharges in hydroelectric generators. Presents
in-depth theory with examples; Provides experimental data
illustrating effects of PD in machine components; Includes
functional Python and C code examples.
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