Cluster Assessment for Online DGA Monitoring

Author James J. Dukarm 2015 CIGRE Canada Conference This paper describes a cluster assessment (CA) method for automatic detection, assessment, and logging of significant fault gas production events by enalysis of multi-gas online monitor data. When large numbers of transformers are monitored, automatic screening interpretation of the data is necessary. The automated interpretation of dissolved… Continue reading

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A Thermodynamic Approach to Evaluation of the Severity of Transformer Faults

Authors: F. Jakob, P. Noble, J.J. Dukarm, J.J Published in Power Delivery, IEEE Transactions on vol.27, no.2, pp.554-559, April 2012 doi: 10.1109/TPWRD.2011.2175950 Abstract: Dissolved gas analysis (DGA) has been used to classify the type and severity of faults in transformers. The method commonly used to identify severity is to measure the total fault gas concentration… Continue reading

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