Kalit so‘zlar
transformatorning texnik holat indeksi
prediktiv texnik xizmat ko‘rsatish
SCADA integratsiyasi
mashinali o‘rganish
intellektual elektr tarmoqlari analitikasi.
Iqtibos keltirish tartibi
Annotatsiya
Maqolada kuch transformatorlarining uzluksiz va ishonchli ishlashini ta’minlashga xizmat qiluvchi usul ko‘rib chiqilgan bo‘lib, bu zamonaviy elektr tarmoqlari uchun muhim talablardan biridir. Energetik tizimlarning tobora murakkablashib borishi real vaqt rejimida monitoring olib borish va prediktiv texnik xizmat ko‘rsatishning innovatsion usullarini joriy etishni taqozo etadi. Ushbu ishda Internet buyumlari (IoT) texnologiyalariga asoslangan, transformatorlarning texnik holatini baholashga mo‘ljallangan intellektual tizim taklif etilgan bo‘lib, u ko‘p kanalli datchiklardan ma’lumotlarni yig‘ish, simsiz uzatish hamda mashinali o‘rganish algoritmlaridan foydalangan holda bulutli analitik qayta ishlashni birlashtiradi.
Taklif etilgan model o‘ramlar harorati, transformator moyining sifati va vibratsiya darajasi kabi muhim parametrlarni monitoring qilishni amalga oshiradi. Ma’lumotlar sun’iy neyron tarmoqlar (ANN) va tayanch vektorlar usuli (SVM) yordamida tahlil qilinib, transformatorning texnik holat indeksi dinamik ravishda aniqlanadi. Statistik korrelyatsion tahlil harorat tebranishlari, moyning kislotaliligi va izolyatsiyaning degradatsiya jarayonlari o‘rtasida yaqqol bog‘liqlik mavjudligini ko‘rsatdi. 110/35 kV podstansiyalaridan real vaqt rejimida olingan ma’lumotlar asosida o‘tkazilgan tajribaviy sinovlar modelning bashorat aniqligi 97,5 % ni tashkil etishini tasdiqladi.
IoT-ga yo‘naltirilgan analitikani SCADA muhitlariga integratsiya qilish prediktiv texnik xizmat ko‘rsatishga o‘tishni ta’minlaydi, ekspluatatsion xatarlarni kamaytiradi va uskunaning xizmat muddatini uzaytiradi. Olingan natijalar an’anaviy texnik xizmat strategiyalaridan intellektual, o‘z-o‘zini diagnostika qiluvchi energetik tizimlarga o‘tishning amaliy jihatdan mumkinligini tasdiqlaydi.
Adabiyotlar ro‘yxati
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