Bültmann & Gerriets
Condition Assessment of High Voltage Insulation in Power System Equipment
von R. E. James, Q. Su
Verlag: Institution of Engineering & Technology
Reihe: Energy Engineering
Taschenbuch
ISBN: 978-0-86341-737-5
Erschienen am 15.02.2008
Sprache: Englisch
Format: 234 mm [H] x 156 mm [B] x 15 mm [T]
Gewicht: 447 Gramm
Umfang: 288 Seiten

Preis: 80,00 €
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Klappentext
Biografische Anmerkung
Inhaltsverzeichnis

This book covers major components of a high voltage system and the different insulating materials applied in equipment, identifying measurable materials suitable for condition assessment, and also analyses insulation fault scenarios that may occur in power equipment.



Ron James SMIEEE, FIEAust, MIMechE, MIET worked for twelve years as a designer and senior insulation development engineer in the high voltage power transformer manufacturing industry in the UK. This was followed by a period at Portsmouth Polytechnic as a principal lecturer during which he was awarded a Ph.D. In 1974 he was appointed as a senior lecturer and later Adjunct Professor at the University of NSW, Australia developing high voltage courses, new insulation research projects and consultancies with industry. He is a pioneer in digital partial discharge detection and has published many technical papers. For a number of years he was active within CIGRE as Convener of the Australian Panel on Insulating Materials and of an international Working Group.




  • Chapter 1: Introduction

  • Chapter 2: Insulating materials utilized in power-system equipment

  • Chapter 3: Introduction to electrical insulation design concepts

  • Chapter 4: Insulation defects in power-system equipment: Part 1

  • Chapter 5: Insulation defects in power-system equipment: Part 2

  • Chapter 6: Basic methods for insulation assessment

  • Chapter 7: Established methods for insulation testing of specific equipment

  • Chapter 8: Sensors for insulation condition monitoring

  • Chapter 9: Online insulation condition monitoring techniques

  • Chapter 10: Artificial-intelligence techniques for incipient fault diagnosis and condition assessment


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