Dye Concentrations Measurement Using Mach–Zehner Interferometer Sensor and Modeled by ANFIS

In this paper, a reliable Mach-Zehner Interferometer (MZI) dye sensor is constructed by bridging two single mode fibres (SMF1 and SMF2) with a short (∼20 mm), tapered multimode fibre (MMF). Three MMFs with diameters of 27.7, 23.2 and 19.5μm are tested to analyze the sensitivity of the sensor. The se...

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Main Authors: Chong, S.S., Abdul Raman, Abdul Aziz, Harun, Sulaiman Wadi, Arof, Hamzah
Format: Article
Published: Institute of Electrical and Electronics Engineers (IEEE) 2016
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Online Access:http://eprints.um.edu.my/17870/
http://dx.doi.org/10.1109/JSEN.2016.2607753
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spelling my.um.eprints.178702018-10-09T03:26:16Z http://eprints.um.edu.my/17870/ Dye Concentrations Measurement Using Mach–Zehner Interferometer Sensor and Modeled by ANFIS Chong, S.S. Abdul Raman, Abdul Aziz Harun, Sulaiman Wadi Arof, Hamzah TK Electrical engineering. Electronics Nuclear engineering TP Chemical technology In this paper, a reliable Mach-Zehner Interferometer (MZI) dye sensor is constructed by bridging two single mode fibres (SMF1 and SMF2) with a short (∼20 mm), tapered multimode fibre (MMF). Three MMFs with diameters of 27.7, 23.2 and 19.5μm are tested to analyze the sensitivity of the sensor. The sensor is immersed in a Remazol Black B solution of various concentrations (40 to 240 ppm) where the output intensity ratio of Remazol Black B to distilled water, IRBB/I0, and wavelength shift, δλ are both recorded for each concentration. These responses are mainly dependent on the diameter of the MMF and the concentration of the RBB dye solution. Response Surface Methodology (RSM) is utilized to evaluate the interactions of few parameters simultaneously as well as to interpret the obtained results in statistic form. Furthermore, a modeling approach, adaptive neuro fuzzy interference system (ANFIS) is deployed to construct two empirical models with the given responses from the sensor; hence, predicting the concentration of the RBB solution. The squared correlation coefficient (R2) between experimental and predicted results, mean absolute percentage error (MAPE) and root mean square error (RMSE) are all calculated to measure the accuracy of the models developed in the study. Finally, an additional experiment is conducted to validate the accuracy of the predictive models and the results obtained are encouraging. Institute of Electrical and Electronics Engineers (IEEE) 2016 Article PeerReviewed Chong, S.S. and Abdul Raman, Abdul Aziz and Harun, Sulaiman Wadi and Arof, Hamzah (2016) Dye Concentrations Measurement Using Mach–Zehner Interferometer Sensor and Modeled by ANFIS. IEEE Sensors Journal, 16 (22). pp. 8044-8050. ISSN 1530-437X http://dx.doi.org/10.1109/JSEN.2016.2607753 doi:10.1109/JSEN.2016.2607753
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
TP Chemical technology
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
TP Chemical technology
Chong, S.S.
Abdul Raman, Abdul Aziz
Harun, Sulaiman Wadi
Arof, Hamzah
Dye Concentrations Measurement Using Mach–Zehner Interferometer Sensor and Modeled by ANFIS
description In this paper, a reliable Mach-Zehner Interferometer (MZI) dye sensor is constructed by bridging two single mode fibres (SMF1 and SMF2) with a short (∼20 mm), tapered multimode fibre (MMF). Three MMFs with diameters of 27.7, 23.2 and 19.5μm are tested to analyze the sensitivity of the sensor. The sensor is immersed in a Remazol Black B solution of various concentrations (40 to 240 ppm) where the output intensity ratio of Remazol Black B to distilled water, IRBB/I0, and wavelength shift, δλ are both recorded for each concentration. These responses are mainly dependent on the diameter of the MMF and the concentration of the RBB dye solution. Response Surface Methodology (RSM) is utilized to evaluate the interactions of few parameters simultaneously as well as to interpret the obtained results in statistic form. Furthermore, a modeling approach, adaptive neuro fuzzy interference system (ANFIS) is deployed to construct two empirical models with the given responses from the sensor; hence, predicting the concentration of the RBB solution. The squared correlation coefficient (R2) between experimental and predicted results, mean absolute percentage error (MAPE) and root mean square error (RMSE) are all calculated to measure the accuracy of the models developed in the study. Finally, an additional experiment is conducted to validate the accuracy of the predictive models and the results obtained are encouraging.
format Article
author Chong, S.S.
Abdul Raman, Abdul Aziz
Harun, Sulaiman Wadi
Arof, Hamzah
author_facet Chong, S.S.
Abdul Raman, Abdul Aziz
Harun, Sulaiman Wadi
Arof, Hamzah
author_sort Chong, S.S.
title Dye Concentrations Measurement Using Mach–Zehner Interferometer Sensor and Modeled by ANFIS
title_short Dye Concentrations Measurement Using Mach–Zehner Interferometer Sensor and Modeled by ANFIS
title_full Dye Concentrations Measurement Using Mach–Zehner Interferometer Sensor and Modeled by ANFIS
title_fullStr Dye Concentrations Measurement Using Mach–Zehner Interferometer Sensor and Modeled by ANFIS
title_full_unstemmed Dye Concentrations Measurement Using Mach–Zehner Interferometer Sensor and Modeled by ANFIS
title_sort dye concentrations measurement using mach–zehner interferometer sensor and modeled by anfis
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2016
url http://eprints.um.edu.my/17870/
http://dx.doi.org/10.1109/JSEN.2016.2607753
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