Noise Detection and Elimination in Online Impulse Frequency Response Analysis
Access Status
Open access
Authors
Mohseni, Bahar
Date
2017Supervisor
Prof. Syed Islam
Type
Thesis
Award
MPhil
Metadata
Show full item recordFaculty
Science and Engineering
School
Electrical Engineering
Collection
Abstract
One of the main problems associated with implementing transformer impulse frequency response (IFRA) test online is coupling of external interferences and noise with measured signals, which can lead to misinterpretation of the results. To resolve this issue, in this study, initially, the distribution properties of different types of noise and their impact on the transformer online IFRA signature are investigated and secondly, a filtering technique for elimination of external interferences and noise is proposed.
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