Conventional methods of dissolved gas analysis using oil-immersed power transformer for fault diagnosis: A review

This review paper summarizes the discoveries made about dissolved gas analysis (DGA) conventional methods around the decade. DGA is a well-known diagnostic tool to classify different fault types that are likely to occur in oil-filled transformers. Interpretation methods for fault detection include the Key Gases Method, Duval Triangle Method, Duval Pentagon Method, and Ratio Methods consisting of the IEC Method, Rogers Method, and Doer-nenburg Method. In this review paper, a brief introduction of DGA will be given, followed by a review of each method, and the correlation of fault types between methods has also been reviewed so that the readers have a clear view of the capability of each method. The paper highlights the merits and demerits of each method that can be guided before selecting the most suitable DGA method for performing the diagnostic analysis. In this regard, it is of utmost importance to enhance the reliability and accuracy of each DGA method in the diagnostic process, since it detects early transformer faults, and therefore prevents further damage to the specific trans-former. Finally, the conclusion and future works on this topic also will be presented accordingly.

Automated summary

This review paper summarizes the discoveries made about dissolved gas analysis (DGA) conventional methods around the decade. It provides a brief introduction of DGA and reviews various fault detection methods such as the Key Gases Method, Duval Triangle Method, Duval Pentagon Method, and Ratio Methods. The paper highlights the importance of enhancing the reliability and accuracy of each DGA method in the diagnostic process to prevent further damage to transformers.