Precision Improvement for the Detection of TGC via RBF Network

المؤلف

Yan, Yue

المصدر

Shock and Vibration

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-7، 7ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-07-31

دولة النشر

مصر

عدد الصفحات

7

التخصصات الرئيسية

هندسة مدنية

الملخص EN

The approach of multipoint measurement, with increasing hardware cost, should no longer be adopted against the problem of low detection precision on the quality and concentration measurement of large-caliber or irregular pipeline gas with the single platinum film probe.

Alternatively, the data correction and improvement can be carried out through establishing an RBF model to detect sample gas after preprocessing.

Furthermore, the computer simulation and error analysis can be implemented by taking actual SO2 data emitted by one medium-sized coal-fired power plant in China as a training sample.

Hence, it can be shown that this approach on improvement and analysis of continuous monitoring of the systematic integrated error against the instrument correction and flue gas emission has feasibility, and the comprehensive average error is less than 0.6%.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Yan, Yue. 2020. Precision Improvement for the Detection of TGC via RBF Network. Shock and Vibration،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1213109

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Yan, Yue. Precision Improvement for the Detection of TGC via RBF Network. Shock and Vibration No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1213109

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Yan, Yue. Precision Improvement for the Detection of TGC via RBF Network. Shock and Vibration. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1213109

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1213109