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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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English 日本語
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 26, Number 5 (2014)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 313-318
S&M996 Research Paper of Special Issue https://doi.org/10.18494/SAM.2014.986 Published: June 30, 2014 Identification of Cross-Sensitivity of Smart NOx Sensors to Ammonia in Urea-Selective Catalyst Reduction Systems via Fast Fourier Transform [PDF] Chih-Cheng Chou, Chia-Jui Chiang, Yu-Hsuan Su and Yong-Yuan Ku (Received December 24, 2013; Accepted March 6, 2014) Keywords: smart NOx sensor, cross-sensitivity, fast Fourier transform, spectral analysis, urea-selective catalyst reduction
The smart NOx sensor (SNS) is prevailingly used in exhaust after-treatment systems such as urea-selective catalytic reduction (SCR) to monitor the concentration of NOx emission. Owing to the cross-sensitivity of SNS to ammonia concentration, however, the sensor signal suffers significant interference and leads to false reading if excessive ammonia is present. In this paper, an effective method that avoids the cross-sensitivity of SNS to ammonia is proposed on the basis of a periodic modulation of the urea dosage rate and Fast Fourier Transform (FFT) of the SNS signal. This method enables us to measure the true NOx concentration correctly even if the NOx is overkilled by excessive ammonia.
Corresponding author: Chia-Jui Chiang Cite this article Chih-Cheng Chou, Chia-Jui Chiang, Yu-Hsuan Su and Yong-Yuan Ku, Identification of Cross-Sensitivity of Smart NOx Sensors to Ammonia in Urea-Selective Catalyst Reduction Systems via Fast Fourier Transform, Sens. Mater., Vol. 26, No. 5, 2014, p. 313-318. |
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