Mechanisms and Auto-classification of Partial Discharges and Associated Faults in Oil Immersed Transformers

Walid Sameh Salah El-Din;

Abstract


Nowadays, the electrical network has become one of the most important elements of human progress and prosperity. Therefore, the reliability of the network with all its elements, in addition to maintaining the quality of service provided to the consumer, has become one of the biggest challenges and most difficult tasks.
Power transformers are one of the most important parts of the electrical network. The importance of transformers has increased with the current expansion in the size of the electrical network, capacity, and places. Transformers are used to change the voltage to transmit power from the generating stations to the consumer. With a closer and deeper look inside the electrical transformer, we will see that it consists of electrical conductors, insulating materials, and an iron core. The oil transformer is one of the transformers that are widely used in electrical networks. Oil transformer capacities vary from several kVA to several MVA.
Maintaining the safety of transformers and the safety of their performance is of utmost necessity, not only to ensure the continuation of proper electrical feeding for consumers, but also to ensure the safety of


Other data

Title Mechanisms and Auto-classification of Partial Discharges and Associated Faults in Oil Immersed Transformers
Other Titles ميكانيكيات وتصنيف تلقائي للتفريغات الجزئية في المحولات الزيتية والاعطال المصاحبة لها
Authors Walid Sameh Salah El-Din
Issue Date 2022

Attached Files

File SizeFormat
BB12246.pdf533.48 kBAdobe PDFView/Open
Recommend this item

Similar Items from Core Recommender Database

Google ScholarTM

Check

views 3 in Shams Scholar
downloads 1 in Shams Scholar


Items in Ain Shams Scholar are protected by copyright, with all rights reserved, unless otherwise indicated.