Precision Improvement for the Detection of TGC via RBF Network

Author

Yan, Yue

Source

Shock and Vibration

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

Civil Engineering

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