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dc.contributor.authorAl-Ameri, Salem Mgammal
dc.contributor.authorKamarudin, Muhammad Saufi
dc.contributor.authorYousof, Mohd Fairouz Mohd
dc.contributor.authorSalem, Ali A
dc.contributor.authorAbu-Siada, Ahmed
dc.contributor.authorMosaad, Mohamed I
dc.identifier.citationAl-Ameri, S.M. and Kamarudin, M.S. and Yousof, M.F.M. and Salem, A.A. and Abu-Siada, A. and Mosaad, M.I. 2021. Interpretation of Frequency Response Analysis for Fault Detection in Power Transformers. Applied Sciences. 11(7): Article No. 2923.

Frequency response analysis (FRA) is a method of monitoring a power transformer’s mechanical integrity. However, identifying the type of fault and its severity by comparing measured responses is still challenging and mostly relies on personnel expertise. This paper is taking one step forward to standardize the FRA interpretation process by proposing guidelines based on various international standards and FRA case studies. In this study, the FRA signature is divided into three regions: low-, mid- and high-frequency regions. The deviation from the fingerprint signature for various faults is classified into small, large, and no variations, based on the calculation of the correlation coefficient. The proposed guidelines are developed based on the frequency regions, and the level of variation is represented using a simple arrow method to simplify the interpretation process. A case study is conducted on a three-phase 11/0.433 kV, 500 kVA distribution transformer with a short circuit winding fault to validate the proposed guidelines.

dc.publisherMDPI AG
dc.titleInterpretation of Frequency Response Analysis for Fault Detection in Power Transformers
dc.typeJournal Article
dcterms.source.titleApplied Sciences
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Sciences
curtin.accessStatusOpen access
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidAbu-Siada, Ahmed [0000-0002-2094-3036] [0000-0002-8560-3403]
curtin.contributor.researcheridAbu-Siada, Ahmed [K-3809-2013] [O-7116-2019]
curtin.contributor.scopusauthoridAbu-Siada, Ahmed [24780681200]

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