ELEKTR UZATISH TIZIMLARIDA ANOMAL HOLATLARNI ANIQLASHNING MASHINAVIY O‘QITISH ALGORITMI VA APPARAT-DASTURIY MAJMUASI
DOI:
https://doi.org/10.5281/zenodo.23167099Abstract
Elektr uzatish tizimlarining joriy ish rejimida yuzaga keladigan anomal holatlarni avtomatik aniqlash masalasi tadqiq etilgan. Elektr uzatish tizimlarida kuchlanish, tok, chastota, harorat va quvvat koeffitsienti kabi parametrlarning me’yoriy ish rejimidan chetlanishi potensial avariya xavfini erta aniqlashda muhim signal vazifasini bajarishi mumkin. Tadqiqot doirasida Isolation Forest algoritmi hamda fizik chegaraviy qiymatlarga asoslangan ekspert qoidalarini birlashtiruvchi gibrid usul taklif etilgan. Mazkur usul 4320 ta besh daqiqalik kuzatuvdan tashkil topgan sintetik va fizik jihatdan asoslangan ma’lumotlar to‘plamida sinovdan o‘tkazilgan. Modellashtirish natijalariga ko‘ra, taklif etilgan yondashuv test to‘plamida F1 = 0,8041 va ROC-AUC = 0,9932 ko‘rsatkichlariga erishgan. Olingan natijalarni real SCADA/IED ma’lumotlari asosida keyingi bosqichlarda validatsiyadan o‘tkazish maqsadga muvofiq.Keywords
elektr uzatish tizimi, anomal holat, mashinaviy o‘qitish, Isolation Forest, SCADA, sensor ma’lumotlari, xavf monitoringi, real vaqt monitoringi, IEC 61850, apparat-dasturiy majmua, elektr tarmog‘iReferences
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