The implementation of A3S information fusion algorithm for interpreting Dissolved Gas Analysis (DGA) based on Doernenburg Ratio

This paper proposes the implementation of A3S information fusion algorithm to interpret Dissolved Gas Analysis (DGA) based on Doernenburg Ratio. A3S (Arwin-Adang-Aciek- Sembiring) is a method of information fusion derived from Bayesian Inference Method (BIM) to handle multi-hypothesis multi-indication problem for single observation time. The proposed algorithm is verified using a dataset that is put into groups based on the analyzed and previously published fault. The datasets consist of the same faults with the different range. The computation result shows that the proposed method can show major fault and the minor fault as well as minor faults occurred along with major fault. This feature enables the proposed method to provide an early warning mechanism to any potential fault and also to provide engineers with the information for carrying out proper maintenance process.