Testing and diagnostic out of the service power transformer using a sweep frequency response analysis (SFRA) comparing with China standard
1
Laboratory of Electrical Engineering LGE, University of M’sila, Algeria
2
Department of Electrical Engineering, Faculty of Technology, University of M’sila, Algeria
3
Institute of Electrical and Electronic Engineering, University M’hamed Bougara, Boumerdes, Algeria
Submission date: 2023-07-20
Final revision date: 2024-01-31
Acceptance date: 2024-02-26
Online publication date: 2024-02-27
Publication date: 2024-02-27
KEYWORDS
TOPICS
ABSTRACT
A several diagnostic methods used to evaluate and detect any potential issues or faults in the transformer before they cause significant problems. The research proposal focuses on employing the SFRA (Sweep Frequency Response Analysis) technique, renowned for its exceptional sensitivity and diagnostic capabilities. This method serves to identify the mechanical integrity of the transformer's core, winding distortion, and clamping structures by analyzing their electrical transfer functions across a broad frequency spectrum. By utilizing SFRA, the study aims to accurately predict the internal physical condition of the transformer, making it a highly effective and reliable indicator for assessing its overall health. The motivation of this present work is using all experiments of SFRA were conducted and validated on a three-phase 30kV/0.4KV voltage transformer with 50kVA at the laboratory of Msila university. The result of these experiments is presented and discussed in terms of interpretation the analyses based on different standards.
FUNDING
This research received no external funding.
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