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Pd-Doped SnO2-Based Sensor Detecting Characteristic Fault Hydrocarbon Gases in Transformer Oil
المؤلفون المشاركون
Chen, Weigen
Gao, Tuoyu
Su, Xiaoping
Wan, Fu
Zhou, Qu
المصدر
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-02-21
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Methane (CH4), ethane (C2H6), ethylene (C2H4), and acetylene (C2C2) are important fault characteristic hydrocarbon gases dissolved in power transformer oil.
Online monitoring these gaseous components and their generation rates can present the operational state of power transformer timely and effectively.
Gas sensing technology is the most sticky and tricky point in online monitoring system.
In this paper, pure and Pd-doped SnO2 nanoparticles were synthesized by hydrothermal method and characterized by X-ray powder diffraction, field-emission scanning electron microscopy, and energy dispersive X-ray spectroscopy, respectively.
The gas sensors were fabricated by side-heated preparation, and their gas sensing properties against CH4, C2H6, C2H4, and C2H2 were measured.
Pd doping increases the electric conductance of the prepared SnO2 sensors and improves their gas sensing performances to hydrocarbon gases.
In addition based on the frontier molecular orbital theory, the highest occupied molecular orbital energy and the lowest unoccupied molecular orbital energy were calculated.
Calculation results demonstrate that C2H4 has the highest occupied molecular orbital energy among CH4, C2H6, C2H4, and C2H2, which promotes charge transfer in gas sensing process, and SnO2 surfaces capture a relatively larger amount of electric charge from adsorbed C2H4.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chen, Weigen& Zhou, Qu& Gao, Tuoyu& Su, Xiaoping& Wan, Fu. 2013. Pd-Doped SnO2-Based Sensor Detecting Characteristic Fault Hydrocarbon Gases in Transformer Oil. Journal of Nanomaterials،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1031302
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chen, Weigen…[et al.]. Pd-Doped SnO2-Based Sensor Detecting Characteristic Fault Hydrocarbon Gases in Transformer Oil. Journal of Nanomaterials No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1031302
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chen, Weigen& Zhou, Qu& Gao, Tuoyu& Su, Xiaoping& Wan, Fu. Pd-Doped SnO2-Based Sensor Detecting Characteristic Fault Hydrocarbon Gases in Transformer Oil. Journal of Nanomaterials. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1031302
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1031302
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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