
Ushbu maqolada zamonaviy elektron asboblardagi nosozliklarni aniqlash usullari va diagnostika texnologiyalarining samaradorligi tahlil qilindi. Passiv, aktiv hamda raqamli diagnostika yondashuvlari solishtirilib, ularning afzallik va cheklovlari eksperimental natijalar asosida baholandi. Mahalliy tadqiqotchilar tomonidan taklif etilgan termografik monitoring, Arduino asosidagi self-test moduli va OBD-II adapterlar yordamida tashxislash usullari o‘rganildi. Qiyosiy tahlil shuni ko‘rsatdiki, gibrid yondashuvdan foydalanilganda nosozliklarni aniqlash aniqligi 2 barobar oshadi. Maqolada diagnostika madaniyatini rivojlantirish, sun’iy intellekt asosida prediktiv monitoring tizimlarini yaratish bo‘yicha takliflar ilgari surilgan.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
