262,52 €
291,69 €
-10% with code: EXTRA
Design of Green Liquid Dielectrics for Transformers: An Experimental Approach
Design of Green Liquid Dielectrics for Transformers: An Experimental Approach
262,52
291,69 €
  • We will send in 10–14 business days.
This book provides in-depth information about the latest trends in transformer insulation design. This practical guide is prepared from a hands-on perspective, offering readers valuable insights into the trends in liquid dielectrics for transformer applications. Chapter 1 covers the necessity of alternate liquid dielectrics for transformers. Chapter 2 delves into the historical development of liquid dielectrics for transformer applications, drawing insights from reputable publications. It also…
291.69
  • Publisher:
  • ISBN-10: 8770041520
  • ISBN-13: 9788770041522
  • Format: 15.6 x 23.4 x 0.8 cm, kieti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

Design of Green Liquid Dielectrics for Transformers: An Experimental Approach (e-book) (used book) | bookbook.eu

Reviews

Description

This book provides in-depth information about the latest trends in transformer insulation design. This practical guide is prepared from a hands-on perspective, offering readers valuable insights into the trends in liquid dielectrics for transformer applications. Chapter 1 covers the necessity of alternate liquid dielectrics for transformers. Chapter 2 delves into the historical development of liquid dielectrics for transformer applications, drawing insights from reputable publications. It also explores the impact of nanoparticles on ester oil characteristics. In Chapter 3, the significance of spectroscopy analysis for investigating the ageing effect on both cellulosic insulating materials and oil samples is discussed. Chapter 4 describes material preparations followed by experimental analysis, estimating the degradation rate of solid and liquid dielectrics using spectroscopies. Chapter 5 discusses the importance of condition monitoring for transformers and its historical methods. Chapter 6 explores the methodology for hot spot indication and its application for assessing the transformer's condition. It covers real-time case studies as well. In Chapter 7, the book investigates the application of artificial intelligence in transformer insulation systems, leveraging machine learning algorithms to predict transformer insulation.

EXTRA 10 % discount with code: EXTRA

262,52
291,69 €
We will send in 10–14 business days.

The promotion ends in 23d.18:19:17

The discount code is valid when purchasing from 10 €. Discounts do not stack.

Log in and for this item
you will receive 2,92 Book Euros!?
  • Author: T Mariprasath
  • Publisher:
  • ISBN-10: 8770041520
  • ISBN-13: 9788770041522
  • Format: 15.6 x 23.4 x 0.8 cm, kieti viršeliai
  • Language: English English

This book provides in-depth information about the latest trends in transformer insulation design. This practical guide is prepared from a hands-on perspective, offering readers valuable insights into the trends in liquid dielectrics for transformer applications. Chapter 1 covers the necessity of alternate liquid dielectrics for transformers. Chapter 2 delves into the historical development of liquid dielectrics for transformer applications, drawing insights from reputable publications. It also explores the impact of nanoparticles on ester oil characteristics. In Chapter 3, the significance of spectroscopy analysis for investigating the ageing effect on both cellulosic insulating materials and oil samples is discussed. Chapter 4 describes material preparations followed by experimental analysis, estimating the degradation rate of solid and liquid dielectrics using spectroscopies. Chapter 5 discusses the importance of condition monitoring for transformers and its historical methods. Chapter 6 explores the methodology for hot spot indication and its application for assessing the transformer's condition. It covers real-time case studies as well. In Chapter 7, the book investigates the application of artificial intelligence in transformer insulation systems, leveraging machine learning algorithms to predict transformer insulation.

Reviews

  • No reviews
0 customers have rated this item.
5
0%
4
0%
3
0%
2
0%
1
0%
(will not be displayed)