Noise Detection and Elimination in Online Impulse Frequency Response Analysis

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...

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Bibliographic Details
Main Author: Mohseni, Bahar
Format: Thesis
Published: Curtin University 2017
Online Access:http://hdl.handle.net/20.500.11937/57444
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author Mohseni, Bahar
author_facet Mohseni, Bahar
author_sort Mohseni, Bahar
building Curtin Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-14T10:09:45Z
format Thesis
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T10:09:45Z
publishDate 2017
publisher Curtin University
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spelling curtin-20.500.11937-574442021-01-28T03:54:47Z Noise Detection and Elimination in Online Impulse Frequency Response Analysis Mohseni, Bahar 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. 2017 Thesis http://hdl.handle.net/20.500.11937/57444 Curtin University fulltext
spellingShingle Mohseni, Bahar
Noise Detection and Elimination in Online Impulse Frequency Response Analysis
title Noise Detection and Elimination in Online Impulse Frequency Response Analysis
title_full Noise Detection and Elimination in Online Impulse Frequency Response Analysis
title_fullStr Noise Detection and Elimination in Online Impulse Frequency Response Analysis
title_full_unstemmed Noise Detection and Elimination in Online Impulse Frequency Response Analysis
title_short Noise Detection and Elimination in Online Impulse Frequency Response Analysis
title_sort noise detection and elimination in online impulse frequency response analysis
url http://hdl.handle.net/20.500.11937/57444