Influence of the Load on the Impulse Frequency Response Approach Based Diagnosis of Transformer’s Inter-Turn Short-Circuit
Frequency Response Analysis (FRA) is an Off-line condition monitoring technique for the transformers and is successful, in diagnosing mechanical faults and inter-turn short-circuits. Only limited literature is available for On-line FRA works, and the effect of the transformer's load on the faul...
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Format: | Article |
Language: | English |
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IEEE
2020-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/9007744/ |
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author | Natarajan Shanmugam Balasubramanian Madanmohan Rajesh Rajamani |
author_facet | Natarajan Shanmugam Balasubramanian Madanmohan Rajesh Rajamani |
author_sort | Natarajan Shanmugam |
collection | DOAJ |
description | Frequency Response Analysis (FRA) is an Off-line condition monitoring technique for the transformers and is successful, in diagnosing mechanical faults and inter-turn short-circuits. Only limited literature is available for On-line FRA works, and the effect of the transformer's load on the fault diagnosing capability of FRA has not yet been analysed. Motivated by this research gap, an experimental investigation was done to analyze the effect of load on IFRA based inter-turn short-circuit diagnosis. A single-phase 1 kVA, 240V/240 V transformer supplying R and R-L loads and a three-phase 5 kVA, 440 V/440 V transformer supplying an induction motor at various load levels were tested. Inter-turn short-circuits were emulated in their windings and, the effectiveness of IFRA in diagnosing the same was investigated. Comparisons were made between the frequency response of the loaded transformers in their healthier conditions and emulated fault conditions, based on the transfer function plots and the statistical parameters. Investigations reveal that the loads alter the useful spectrum of IFRA. The frequency response of the healthier transformer itself varies based on the transformer's load and necessitates a careful focus on the sensitive frequency spectra for effective inter-turn short-circuit diagnosis in loaded transformers. |
first_indexed | 2024-12-17T23:40:08Z |
format | Article |
id | doaj.art-35149cb70d184970964d32938f9fdd1f |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-17T23:40:08Z |
publishDate | 2020-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-35149cb70d184970964d32938f9fdd1f2022-12-21T21:28:27ZengIEEEIEEE Access2169-35362020-01-018394543946310.1109/ACCESS.2020.29761579007744Influence of the Load on the Impulse Frequency Response Approach Based Diagnosis of Transformer’s Inter-Turn Short-CircuitNatarajan Shanmugam0https://orcid.org/0000-0001-5356-3868Balasubramanian Madanmohan1https://orcid.org/0000-0002-1345-367XRajesh Rajamani2https://orcid.org/0000-0001-7535-8777Department of Electrical and Electronics Engineering, Shanmugha Arts, Science, Technology, Research Academy (SASTRA) Deemed University, Thanjavur, IndiaDepartment of Electrical and Electronics Engineering, Shanmugha Arts, Science, Technology, Research Academy (SASTRA) Deemed University, Thanjavur, IndiaDepartment of Electrical and Electronics Engineering, Shanmugha Arts, Science, Technology, Research Academy (SASTRA) Deemed University, Thanjavur, IndiaFrequency Response Analysis (FRA) is an Off-line condition monitoring technique for the transformers and is successful, in diagnosing mechanical faults and inter-turn short-circuits. Only limited literature is available for On-line FRA works, and the effect of the transformer's load on the fault diagnosing capability of FRA has not yet been analysed. Motivated by this research gap, an experimental investigation was done to analyze the effect of load on IFRA based inter-turn short-circuit diagnosis. A single-phase 1 kVA, 240V/240 V transformer supplying R and R-L loads and a three-phase 5 kVA, 440 V/440 V transformer supplying an induction motor at various load levels were tested. Inter-turn short-circuits were emulated in their windings and, the effectiveness of IFRA in diagnosing the same was investigated. Comparisons were made between the frequency response of the loaded transformers in their healthier conditions and emulated fault conditions, based on the transfer function plots and the statistical parameters. Investigations reveal that the loads alter the useful spectrum of IFRA. The frequency response of the healthier transformer itself varies based on the transformer's load and necessitates a careful focus on the sensitive frequency spectra for effective inter-turn short-circuit diagnosis in loaded transformers.https://ieeexplore.ieee.org/document/9007744/Condition monitoringfrequency responseinsulationstatistical toolstransfer functiontransformer |
spellingShingle | Natarajan Shanmugam Balasubramanian Madanmohan Rajesh Rajamani Influence of the Load on the Impulse Frequency Response Approach Based Diagnosis of Transformer’s Inter-Turn Short-Circuit IEEE Access Condition monitoring frequency response insulation statistical tools transfer function transformer |
title | Influence of the Load on the Impulse Frequency Response Approach Based Diagnosis of Transformer’s Inter-Turn Short-Circuit |
title_full | Influence of the Load on the Impulse Frequency Response Approach Based Diagnosis of Transformer’s Inter-Turn Short-Circuit |
title_fullStr | Influence of the Load on the Impulse Frequency Response Approach Based Diagnosis of Transformer’s Inter-Turn Short-Circuit |
title_full_unstemmed | Influence of the Load on the Impulse Frequency Response Approach Based Diagnosis of Transformer’s Inter-Turn Short-Circuit |
title_short | Influence of the Load on the Impulse Frequency Response Approach Based Diagnosis of Transformer’s Inter-Turn Short-Circuit |
title_sort | influence of the load on the impulse frequency response approach based diagnosis of transformer x2019 s inter turn short circuit |
topic | Condition monitoring frequency response insulation statistical tools transfer function transformer |
url | https://ieeexplore.ieee.org/document/9007744/ |
work_keys_str_mv | AT natarajanshanmugam influenceoftheloadontheimpulsefrequencyresponseapproachbaseddiagnosisoftransformerx2019sinterturnshortcircuit AT balasubramanianmadanmohan influenceoftheloadontheimpulsefrequencyresponseapproachbaseddiagnosisoftransformerx2019sinterturnshortcircuit AT rajeshrajamani influenceoftheloadontheimpulsefrequencyresponseapproachbaseddiagnosisoftransformerx2019sinterturnshortcircuit |