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Title: Identification of winding faults in transformers
Authors: Phyu Mar Myint.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electric power
Issue Date: 2006
Abstract: A transformer is one of the most important units in power network. For reliable operation of network, diagnosis of developing faults in transformer is very important. This project presents a novel and sensitive frequency response analysis (FRA) technique for identifying the winding faults in power apparatus. This technique is a suitable off-line diagnostic method for identifying electrical and mechanical faults of a transformer. The main objective of this project is to investigate the applicability of this predictive maintenance technique to identify the level of winding faults in power transformer and to characterize the transformer in a frequency plane for safe operation.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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