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dc.contributor.authorZhao, Z.
dc.contributor.authorIslam, Syed
dc.contributor.authorHashemnia, N.
dc.contributor.authorHu, D.
dc.contributor.authorYao, C.
dc.date.accessioned2017-01-30T11:51:50Z
dc.date.available2017-01-30T11:51:50Z
dc.date.created2017-01-19T19:30:20Z
dc.date.issued2016
dc.identifier.citationZhao, Z. and Islam, S. and Hashemnia, N. and Hu, D. and Yao, C. 2016. Understanding online frequency response signatures for transformer winding deformation: Axial displacement simulation, pp. 404-407.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/15774
dc.identifier.doi10.1109/CMD.2016.7757845
dc.description.abstract

The power transformer is considered as the most critical and expensive device in substation, however, the irreversible transformer winding mechanical deformation can eventually develop into catastrophic failure if no further steps are taken in a proper way, which would cause the outage of transformer and the significant economic losses. Online frequency response analysis (FRA) has been proven to be a promising tool for condition monitoring and diagnosing of winding deformation. Online FRA relies on graphic comparison of signatures, but up to now, there is no standard and practical interpretation code for signatures classification and quantification. This paper particularly studies the characteristic of online FRA signatures under the winding axial displacement mode, in which the 3D finite element electromagnetic analysis and online transformer equivalent high frequency electrical model are established as auxiliary tools to precisely emulate winding axial displacement. Results of this simulation will provide guidance on understanding online frequency response signatures.

dc.titleUnderstanding online frequency response signatures for transformer winding deformation: Axial displacement simulation
dc.typeConference Paper
dcterms.source.startPage404
dcterms.source.endPage407
dcterms.source.title2016 International Conference on Condition Monitoring and Diagnosis (CMD)
dcterms.source.seriesCMD 2016 - International Conference on Condition Monitoring and Diagnosis
dcterms.source.isbn9781509033980
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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