Measurement Of Partial Discharges In Power Transformers Using Electromagnetic Signals

Measurement of Partial Discharges in Power Transformers using Electromagnetic Signals

Partial discharges within power transformers emit electromagnetic waves. The current thesis aims to provide fundamental knowledge about measuring and interpretation of the electromagnetic signals. Investigations in laboratory are confirmed by several case studies. The applicability using electromagnetic signals for partial discharge measurements on transformer in the field is demonstrated under real test conditions.

Detection and Location of Partial Discharges in Power Transformers Using Acoustic and Electromagnetic Signals

Power Transformer Online Monitoring Using Electromagnetic Waves

Power Transformer Online Monitoring using Electromagnetic Waves explores how to use electromagnetic wave technology and remote monitoring systems to predict and localize costly mechanical defects and partial discharge challenges in high voltage transformer windings. This innovative approach brings several potential benefits compared with conventional techniques such as frequency response analysis, including impermeability to ambient noise, and online implementation capability. This book reviews both fundamental and state-of-the-art information about all key aspects of condition monitoring using electromagnetic waves. It addresses the simulation of power transformers in CST environment while also explaining the theoretical background of boundary conditions used. Chapters review how to achieve practical online implementation, reliable diagnosis, asset management and remnant life estimation. Partial discharge detection is also discussed. - Discusses the advantages and disadvantages of the electromagnetic wave method in comparison with classical monitoring methods - Explores how to design and implement power transformer monitoring systems using electromagnetic waves - Investigates partial discharge detection and localization in addition to the partial discharge emission effects on defect detection