Detail Cognitive Artificial Intelligence Method for Measuring Transformer Performance (presented at 2016 Future Technologies Conference (FTC) San Fransisco 06-07 December 2016) Bibliografi Author: Ahmad, Adang Suwandi ; Bachri, Karel Octavianus Topik: Transformer Performance; Information Fusion; A3S Algorithm; Transformer end-of-life; JABFUNG-FT-KOB-2023-10 Bahasa: (EN )     Penerbit: IEEE     Tempat Terbit: San Francisco    Tahun Terbit: 2016     Jenis: Papers/Makalah - pada seminar internasional Fulltext: ahmad2016.pdf (256.77KB; 1 download) Abstract In this paper, we calculate transformer end-of-life estimation using OMA3S information fusion algorithm. We use two parameters, transformer condition and gradient of condition, which are calculated using condition-Based Sampling Period method. Condition generated randomly, while the gradient of condition is calculated using two conditions from current observation and previous observation. This condition is used to determine the sampling period of the measurement data collected from sensors. The sampling period will be decreased if the condition of the transformer deteriorates. The tangent of the condition will be used to estimate transformer end-of-life. Simulation shows transformer end-of life can be estimated using OMA3S method on condition and the gradient of condition. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

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