Title :
Asset-Management of Transformers Based on Condition Monitoring and Standard Diagnosis [Feature Article]
Author :
Zhang, Xiang ; Gockenbach, Ernst
Author_Institution :
Dept. of High Voltage Eng., Leibniz Univ. Hannover, Hanover
Abstract :
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.
Keywords :
condition monitoring; fault diagnosis; maintenance engineering; power transformer testing; condition monitoring; data acquisition; international test standards; transformer asset-management; Aging; Asset management; Circuit testing; Condition monitoring; Failure analysis; Maintenance; Pollution measurement; Power generation economics; Thermal stresses; Transformers;
Journal_Title :
Electrical Insulation Magazine, IEEE
DOI :
10.1109/MEI.2008.4581371