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- W3217469713 abstract "Cognitive Artificial Intelligence (CAI) is a new method in Artificial Intelligence (AI) that is able to emulate the human brain's ability for doing Knowledge Growing Systems (KGS). Previous research has presented the application of CAI based on Doernenburg Ratio Method (DRM) for Dissolved Gas Analysis (DGA) interpretation. This paper improves the previous research, there are correcting errors in data input and improving the “not significant” conditions in the grouping process. The data used in this paper is using the previous research, that is IEC TC 10 dataset labeled. This paper also adds a comparison with several methods, there are Fuzzy Inference System (FIS), Duval Triangle, Roger's Ratio Method (RRM), and Doernenburg Ratio Method (DRM). The results showed that the accuracy of CAI decreased by 3.43% from the previous research. Previous research resulted in 98.3 % while this research resulted in 94.87%. The biggest contribution to decrease the accuracy is due to errors in the data input by 1.71 %. While the proposed improvement, namely improving the “not significant” conditions, only reduces 0.85%. Based on the comparison of several methods, CAI still provides the highest accuracy." @default.
- W3217469713 created "2021-12-06" @default.
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- W3217469713 date "2021-10-12" @default.
- W3217469713 modified "2023-09-23" @default.
- W3217469713 title "Improvement of Application Cognitive Artificial Intelligence based on Doernenburg Ratio Method for Dissolved Gas Analysis Interpretation" @default.
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- W3217469713 doi "https://doi.org/10.1109/iceei52609.2021.9611122" @default.
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