Intelligent Modelling and Condition Assessment of Power Transformers PDF Download
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Author: Almas Shintemirov
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659357862
Category :
Languages : en
Pages : 308
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Book Description
Being one of the most expensive and important elements, a power transformer is a highly essential element, whose failures and damage may cause the outage of a power system. In practice, transformer condition assessment is mainly conducted by experts or trained on-site engineers based on a number of diagnostic techniques. In recent years, computational intelligence techniques have been widely utilized for advancing power transformer condition assessment methods. This book presents a number of novel intelligent techniques and approaches to deal with power transformer winding distortion and deformation assessment problem based on frequency response analysis and incipient faults classification problem in oil-filled power transformers based on dissolved gas analysis. Both theoretical introduction to the subject and practical examples using experimental measurements and simulation results are given. This book will benefit anyone associated with power transformer modelling and conditional assessment. It will also be useful for those working on applying computational intelligence to solving parameter identification and decision making problems in technical systems.
Author: Almas Shintemirov
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659357862
Category :
Languages : en
Pages : 308
Get Book Here
Book Description
Being one of the most expensive and important elements, a power transformer is a highly essential element, whose failures and damage may cause the outage of a power system. In practice, transformer condition assessment is mainly conducted by experts or trained on-site engineers based on a number of diagnostic techniques. In recent years, computational intelligence techniques have been widely utilized for advancing power transformer condition assessment methods. This book presents a number of novel intelligent techniques and approaches to deal with power transformer winding distortion and deformation assessment problem based on frequency response analysis and incipient faults classification problem in oil-filled power transformers based on dissolved gas analysis. Both theoretical introduction to the subject and practical examples using experimental measurements and simulation results are given. This book will benefit anyone associated with power transformer modelling and conditional assessment. It will also be useful for those working on applying computational intelligence to solving parameter identification and decision making problems in technical systems.
Author: W.H. Tang
Publisher: Springer Science & Business Media
ISBN: 0857290525
Category : Technology & Engineering
Languages : en
Pages : 210
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Book Description
In recent years, rapid changes and improvements have been witnessed in the field of transformer condition monitoring and assessment, especially with the advances in computational intelligence techniques. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence applies a broad range of computational intelligence techniques to deal with practical transformer operation problems. The approaches introduced are presented in a concise and flowing manner, tackling complex transformer modelling problems and uncertainties occurring in transformer fault diagnosis. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence covers both the fundamental theories and the most up-to-date research in this rapidly changing field. Many examples have been included that use real-world measurements and realistic operating scenarios of power transformers to fully illustrate the use of computational intelligence techniques for a variety of transformer modelling and fault diagnosis problems. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence is a useful book for professional engineers and postgraduate students. It also provides a firm foundation for advanced undergraduate students in power engineering.
Author: Almas Shintemirov
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Wenhu Tang
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Ahmed Abu-Siada
Publisher: Energy Engineering
ISBN: 1785612549
Category : Electric transformers
Languages : en
Pages : 325
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Book Description
This must-read book on power transformer monitoring will incorporate current power transformer condition monitoring techniques from principles to practice. Each chapter will cover the fundamentals and theory of the topic, convey techniques to measure relevant parameters, and assess or interpret the results. The book will include factory acceptance tests, receiving end pre-commissioning tests, and commissioning tests. It will also include the limitations and challenges, and approaches to overcome these limitations.
Author: Ziwei Zhang
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Issouf Fofana, Ph.D. ing. Chairholder
Publisher: MDPI
ISBN: 3038974412
Category :
Languages : en
Pages : 255
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Book Description
This book is a printed edition of the Special Issue "Power Transformer Diagnostics, Monitoring and Design Features" that was published in Energies
Author:
Publisher:
ISBN:
Category :
Languages : de
Pages :
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Book Description
Author: Tapan Kumar Saha
Publisher: John Wiley & Sons
ISBN: 1119239966
Category : Science
Languages : en
Pages : 492
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Book Description
A one-stop guide to transformer ageing, presenting industrially relevant state-of-the-art diagnostic techniques backed by extensive research data Offers a comprehensive coverage of transformer ageing topics including insulation materials, condition monitoring and diagnostic techniques Features chapters on smart transformer monitoring frameworks, transformer life estimation and biodegradable oil Highlights industrially relevant techniques adopted in electricity utilities, backed by extensive research
Author: Refat Atef Ghunem
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 57
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Book Description
"In this dissertation, artificial neural network is utilized as a modeling tool to predict transformer oil parameters. Accordingly, the diagnosis efficiency of several transformer condition monitoring techniques are enhanced and both corrective maintenance and end-of-life assessment costs are reduced. The research is focused in predicting parameters able to diagnose both transformer insulating oil and its paper insulation condition."--Abstract, p. iii.
