Recent Trends in the Condition Monitoring of Transformers reflects the current interest in replacing traditional techniques used in power transformer condition monitoring with non-invasive measures such as polarization/depolarization current measurement, recovery voltage measurement, frequency domain spectroscopy and frequency response analysis. The book stresses the importance of scrutinizing the condition of transformer insulation which may fail under present day conditions of intensive use with the resulting degradation of dielectric properties causing functional failure of the transformer. The text shows the reader how to overcome the key challenges facing today’s maintenance policies, namely: The selection of appropriate techniques for dealing with each type of failure process accounting for the needs of plant owners, plant users and wider society; and Cost-efficiency and durability of effect. Many of the failure-management methods presented rely on the fact that most failures give warning when they are imminent. These potential failures give rise to identifiable physical conditions and the novel approaches described detect them so that action can be taken to avoid degeneration into full-blown functional failure. This “on-condition” maintenance means that equipment can be left in service as long as a specified set of performance standards continue to be met, avoiding the costly downtime imposed by routine and perhaps unnecessary maintenance but without risking equally expensive failure. Recent Trends in the Condition Monitoring of Transformers will be of considerable interest to both academic researchers in power systems and to engineers working in the power generation and distribution industry showing how new and more efficient methods of fault diagnosis and condition management can increase transformer efficiency and cut costs.

This book is a printed edition of the Special Issue "Power Transformer Diagnostics, Monitoring and Design Features" that was published in Energies

A comprehensive reference and guide on the usage of the alternative dielectric fluids for transformer insulation systems Liquid-filled transformers are one of the most important and expensive components involved in the transmission and distribution of power to industrial and domestic loads. Although petroleum-based insulating oils have been used in transformers for decades, recent environmental concerns, health and safety considerations, and various technical factors have increased the need for new alternative and biodegradable liquids. Alternative Liquid Dielectrics for High Voltage Transformer Insulation Systems is an up-to-date reference and guide on natural and synthetic ester-based biodegradable insulating liquids. Covering the operational behavior, performance analysis, and maintenance of transformers filled with biodegradable insulating liquids, this comprehensive resource helps researchers and utility engineers expand their knowledge of the benefits, challenges, and application of ester-filled transformers. In-depth chapters written by experienced researchers addresses critical topics including transformer condition monitoring, high voltage insulation testing, biodegradable insulating material processing and evaluation, and more. A unique and significant contribution to existing literature on the subject, this authoritative volume: • Covers condition monitoring, diagnostic testing, applications, maintenance, and in-service experiences • Explores current challenges and future prospects of ester-filled transformers • Discusses significant research progress and identifies the topics in need of further emphasis • Compares the differences and similarities between mineral oils and ester liquids • Includes in-depth behavioral observations and performance analysis of ester-based insulating liquids Alternative Liquid Dielectrics for High Voltage Transformer Insulation Systems: Performance Analysis and Applications is a must-have reference for utility engineers, electrical power utilities, transformer owners, manufacturers, and researchers.

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.

This book presents selected research papers on current developments in artificial intelligence (AI) and data sciences from the International Conference on Advances in Data Science and Computing Technologies, ADSC 2022. The book covers topics such as soft computing techniques, AI, optical communication systems, application of Internet of Things, hybrid and renewable energy sources, cloud and mobile computing, deep machine learning, data networks & securities. The book discusses various aspects of these topics, e.g., technological considerations, product implementation, and application issues. The volume will serve as a reference resource for researchers and practitioners in academia and industry.

This book includes best selected, high-quality research papers presented at the International Conference on Intelligent Manufacturing and Energy Sustainability (ICIMES 2023) held at the Department of Mechanical Engineering, Malla Reddy College of Engineering & Technology (MRCET), Hyderabad, India, during June 23–24, 2023. It covers topics in the areas of automation, manufacturing technology, and energy sustainability and also includes original works in the intelligent systems, manufacturing, mechanical, electrical, aeronautical, materials, automobile, bioenergy, and energy sustainability.