SANOAT XAVFSIZLIGI UCHUN FOSFOSILIKATLI GAZ SENSORLARI VA ULARNING KO‘RSATKICHLARINI SUN’IY INTELLEKT YORDAMIDA OPTIMALLASHTIRISH
DOI:
https://doi.org/10.65164/dtnfvj34Ключевые слова:
Proton-o‘tkazuvchi, membrana, impedans, gaz datchigi, Sun’iy Intellekt, Mashinali o‘rganish, bashoratli tahlil.Аннотация
Ushbu maqolada membranalar oraliq haroratli yoqilg‘i elementlari va gaz
sensorlarida, shuningdek, kelajakdagi elektromobillarda ishlatilishi mumkin. Bu sanoat
omborxonalari va strategik obyektlar kabi yopiq xonalarda gazdan to‘g‘ri foydalanish imkonini
beradi. Tadqiqotda sensor signallarini tahlil qilish va gaz konsentratsiyasini xatoliksiz aniqlash uchun
(SI) sun’iy intellekt algoritmlaridan foydalanish imkoniyatlari ko‘rib chiqilgan. SI yordamida xatolik
0.6% gacha kamaytirildi.
Библиографические ссылки
[1] G. Hoogers, G. Hoogers (Ed.), Fuel Cell Technology Handbook, CRC Press, London, 2003,
pp. 10–11.
[2] K. Tadanaga, H. Yoshida, A. Matsuda, T. Minami, M. Tatsumisago, Inorganic–organic hybrid
films using epoxycyclohexylethyltrimethoxy- silane and orthophosphoric acid for PEFC
operated at medium temperatures, Solid State Ionics 176 (2005) 2997–2999.
[3] G. Alberti, M. Casciola, Composite membranes for medium-tempera ture PEM fuel cells, Annu.
Rev. Mater. Res. 33 (2003) 129–154.
[4] Noll W. Chemistry and technology of silicones. – Elsevier, 2012.
[5] Macdonald J. R., Johnson W. B. Fundamentals of impedance spectroscopy //Impedance
spectroscopy: theory, experiment, and applications. – 2018. – С. 1-20.
[6] Liu X. et al. Artificial Intelligence in Gas Sensors: A Review // IEEE Sensors Journal. – 2024.
[7] Bishop C. M., Nasrabadi N. M. Pattern recognition and machine learning. – New York ,
springer, 2006. – Т. 4. – №. 4. – С. 738.
