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Asset-Management of Transformers Based on Condition Monitoring and Standard Diagnosis [Feature Article]

Xiang ZhangDepartment of High Voltage Engineering, Schering Institut, Leibniz Universität Hannover, GermanyE. GockenbachDepartment of High Voltage Engineering, Schering Institut, Leibniz Universität Hannover, Germany
2008en
ABI

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In this paper, a methodology is developed to use data acquisition derived from condition monitoring and standard diagnosis for rehabilitation purposes of transformers. The interpretation and understanding of the test data are obtained from international test standards to determine the current condition of transformers. In an attempt to ascertain monitoring priorities, the effective test methods are selected for transformer diagnosis. In particular, the standardization of diagnostic and analytical techniques are being improved that will enable field personnel to more easily use the test results and will reduce the need for interpretation by experts. In addition, the advanced method has the potential to reduce the time greatly and increase the accuracy of diagnostics. The important aim of the standardization is to develop the multiple diagnostic models that combine results from the different tests and give an overall assessment of reliability and maintenance for transformers.

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