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Detail
BukuInterpreting DGA key gas using fuzzy OMA3S (presented at 2016 International Symposium on Electronics and Smart Devices (ISESD) November 29-30, 2016)
Bibliografi
Author: Bachri, Karel Octavianus ; Anggoro, Bambang ; Ahmad, Adang Suwandi
Topik: OMA3S; Fuzzy OMA3S; DGA; JABFUNG-FT-KOB-2023-11
Bahasa: (EN )    
Penerbit: IEEE     Tahun Terbit: 2016    
Jenis: Papers/Makalah - pada seminar internasional
Fulltext: LB 05 bachri2016.pdf (258.46KB; 2 download)
Abstract
This paper discusses about interpreting DGA key gas using Fuzzy OMA3S. DGA key gas data is compared to standard and put into condition group. Each group is given score and is assigned to the corresponding fault in the observation matrix. The next step is to calculate New Knowledge Probability Distribution (NKPD) on each observation, which is the maximum value of a group of sensors that indicates each hypothesis. To show Knowledge growth, NKPD over Time (NKPDT) is used. At the last observation, the hypothesis with the highest value of NKPDT becomes the DoC. The goal of this paper is to compare the crisp logic of the conventional OMA3S and the Fuzzy logic OMA3S in interpreting 6-sensor-4-hypothesis DGA.
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