Noise Detection and Elimination in Online Impulse Frequency Response Analysis
| dc.contributor.author | Mohseni, Bahar | |
| dc.contributor.supervisor | Prof. Syed Islam | en_US |
| dc.date.accessioned | 2017-11-09T02:32:46Z | |
| dc.date.available | 2017-11-09T02:32:46Z | |
| dc.date.issued | 2017 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/57444 | |
| dc.description.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. | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | Noise Detection and Elimination in Online Impulse Frequency Response Analysis | en_US |
| dc.type | Thesis | en_US |
| dcterms.educationLevel | MPhil | en_US |
| curtin.department | Electrical Engineering | en_US |
| curtin.accessStatus | Open access | en_US |
| curtin.faculty | Science and Engineering | en_US |