Yadda na Yanzu ta Daidaito Masu Mafi Inganci a Karkashin Fadada Tsakiyar Zane
Tana da yawan tsarin daidaito masu mafi inganci a karkashin fadada tsakiyar zane a cikin hanyoyi da ba suka samun damar (kamar hanyoyin looped da open-loop), yanayin damar da take taka (kamar ungrounded, arc-suppression coil grounded, da low-resistance grounded systems), yaɗuwar shekaru na kashi da kabel ko sabbin shiga-kabel wiring, da kuma abubuwan fadada mai gaskiya (kamar fadada rayukansu, tree flashovers, wire breakages, da personal electric shocks).
Kategoriyoyi na Fadada Tsakiyar Zane

Abubuwan fadada a cikin grid na nishadance sun haɗa da metallic grounding, lightning discharge grounding, tree branch grounding, resistance grounding, da poor insulation grounding. Sun haɗa da sasheƙu na arc grounding, kamar short-gap discharge arcs, long-gap discharge arcs, da intermittent arcs. Wasu alamomin fadada da ke faruwa daga cikin abubuwan fadada sun ce ta ɗauke da tsari da yawa.
Aiki na Teknologi na Iyakokin Fadada Tsakiyar Zane
Matsalolin Fadada Tsakiyar Zane
Gaskiya na Alamomin Fadada Tsakiyar Zane
Hanyoyin Ƙarfafar Lokacin da Ke Fadada Tsakiyar Zane
Yana da hanyoyi uku, da kowane uku na 20 hanyoyi ƙanan, don ƙarfafa lokacin da ke fadada tsakiyar zane:

Artificial intelligence (AI) tana cikin teknologiyoyi masu zamani. Tana yi amfani da tushen al'umma a kan mutanen, hayawayen, ko kuma mazauna, don bincike alamomin da suke faru, kuma tana hallar masu matsaloli a nan. Idan an yi amfani da computer computing, zai iya sauya karfin aiki, kuma tana iya hallar cikin sistema masu gaskiya kamar grid na nishadance.
Expert Database: Tana yi amfani da database don taimaka da ilimi da tajammi.
Artificial Neural Network: Tana yi amfani da tushen neuron na mutanen don hallar masu matsaloli, kuma tana iya hallar cikin sistema masu gaskiya.
Ant Colony Optimization: Tana yi amfani da tushen hayawayen ant don ƙarfafa masu matsaloli, kamar traveling salesman problem.
Genetic Algorithm: Tana yi amfani da tushen darasi na hayawayen don samun ƙarfin da ya fi ƙeƙa ko kuma ƙarfin da ya fi ƙeƙa.
Petri Net: Tana yi amfani da tushen takamardukan komponanta a cikin sistema, kuma tana taimaka a taka tushen da suke faruwa a kan lokutan da suka faruwa.
Rough Set Theory: Tana yi amfani da cikakken bayanai don taimaka a taka tushen da suke faruwa a cikin sistema.
Daga cikin hanyoyin AI, akwai kowane da ya fi ƙeƙa a cikin littattafan, amma akwai kowane da ya yi amfani a kan zamanin yanzu. Amma, AI tana nuna muhimmancinsa a cikin zamanin yanzu.