Precision Improvement for the Detection of TGC via RBF Network
Author
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-31
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract 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%.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1213109