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portada Partial Discharges in Hydroelectric Generators: Detection, Processing, Classification, and Pinpointing
Type
Physical Book
Publisher
Language
English
Pages
229
Format
Hardcover
Dimensions
23.4 x 15.6 x 1.6 cm
Weight
0.53 kg.
ISBN13
9783031366031

Partial Discharges in Hydroelectric Generators: Detection, Processing, Classification, and Pinpointing

Victor Dmitriev (Author) · Rodrigo M. S. Oliveira (Author) · Ronaldo F. Zampolo (Author) · Springer · Hardcover

Partial Discharges in Hydroelectric Generators: Detection, Processing, Classification, and Pinpointing - Dmitriev, Victor ; Oliveira, Rodrigo M. S. ; Zampolo, Ronaldo F.

Physical Book

£ 167.10

  • Condition: New
Origin: U.S.A. (Import costs included in the price)
It will be shipped from our warehouse between Monday, June 03 and Wednesday, June 19.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.

Synopsis "Partial Discharges in Hydroelectric Generators: Detection, Processing, Classification, and Pinpointing"

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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