دانلود مقاله ISI انگلیسی شماره 57548
ترجمه فارسی عنوان مقاله

سنسور جدید برای گازهای محلول در روغن ترانسفورماتور بر اساس سلول سوختی اکسید جامد

عنوان انگلیسی
New sensor for gases dissolved in transformer oil based on solid oxide fuel cell
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
57548 2014 8 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Sensors and Actuators B: Chemical, Volume 202, 31 October 2014, Pages 232–239

ترجمه کلمات کلیدی
سلول سوختی اکسید جامد ؛ سنسور گاز؛ مدل ریاضی؛ مقاومت قطبی؛ روغن ترانسفورماتور
کلمات کلیدی انگلیسی
Solid oxide fuel cell; Gas sensor; Mathematical model; Polarization resistance; Transformer oil
پیش نمایش مقاله
پیش نمایش مقاله  سنسور جدید برای گازهای محلول در روغن ترانسفورماتور بر اساس سلول سوختی اکسید جامد

چکیده انگلیسی

Due to the poor anti-jamming performance, less gas species, low detection accuracy, short life, medium leaking or carbon monoxide poisoning and other defects that current sensors for gases dissolved in transformer oil have, a SOFC-based multi-component gas sensor has been designed. The physical, chemical and electrochemical mechanisms of gases in the SOFC have been analyzed, and the mathematical model which contains the static, dynamic and load effects has been established. And the model parameters have been optimized in this paper. The results showed that: (1) temperature is the decisive factor for the static characteristic of the sensor, and the accuracy of temperature should be controlled within ± 0.1 °C to achieve the 0.1 μL/L detection limit of C2H2. (2) The polarization resistance is inversely proportional to the input gas concentrations, while the open-circuit voltage is proportional to them. (3) The relationship between the short-circuit current and the square of input gas concentration is direct proportion, and the polarization resistance is the determinant of sensor dynamic characteristics. Finally, a gas experimental system has been built to verify the above conclusions. This gas sensor can realize the high-precision detection for multi-component gases dissolved in transformer oil effectively.