Planar electromagnetic sensors array for nitrate and sulphate detection

This work expounds the development of three types of sensor arrays based on planar electromagnetic for environmental monitoring. Three types of sensor array are proposed: parallel, star, and delta. The modeling and simulation of all types of sensor array have been carried out to calculate the sensor...

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Main Author:	Mohamad Nor, Alif Syarafi
Format:	Thesis
Language:	English
Published:	2015
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/48921/25/AlifSyarafiMFKE2015.pdf
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id	my-utm-ep.48921
record_format	uketd_dc
spelling	my-utm-ep.489212020-07-08T01:24:07Z Planar electromagnetic sensors array for nitrate and sulphate detection 2015-02 Mohamad Nor, Alif Syarafi TK Electrical engineering. Electronics Nuclear engineering This work expounds the development of three types of sensor arrays based on planar electromagnetic for environmental monitoring. Three types of sensor array are proposed: parallel, star, and delta. The modeling and simulation of all types of sensor array have been carried out to calculate the sensor’s impedance value. The contamination state has been simulated by altering the electrical property values of the environment at the model subdomain to represent water contamination. The simulation results agree with the experimental trends. The star array configuration shows the highest simulated inductance and capacitance responses with the best signal strength and sensitivity. Moreover, experiments have been conducted to determine the relationship between sensor’s impedance and water contamination due to nitrate and sulphate. The sensors have been tested with added distilled water with different concentrations of nitrate and sulphate to observe the system performance. Experimental results show that the best sensor is the star array planar electromagnetic sensor. Artificial Neural Networks (ANN) is used to classify different levels of nitrate and sulphate contaminations in water sources. The impedance of star array planar electromagnetic sensors was derived to decompose by Wavelet Transform (WT). Classification of WT has been applied to extract output signal features. These features are fed into ANN to classify different nitrate and sulphate concentration levels in water. The model is capable of distinguishing contaminants concentration level in the presence of other types of contaminants with a Root Mean Square Error (RMSE) of 0.0132 with 98.68% accuracy. 2015-02 Thesis http://eprints.utm.my/id/eprint/48921/ http://eprints.utm.my/id/eprint/48921/25/AlifSyarafiMFKE2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85030 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Mohamad Nor, Alif Syarafi Planar electromagnetic sensors array for nitrate and sulphate detection
description	This work expounds the development of three types of sensor arrays based on planar electromagnetic for environmental monitoring. Three types of sensor array are proposed: parallel, star, and delta. The modeling and simulation of all types of sensor array have been carried out to calculate the sensor’s impedance value. The contamination state has been simulated by altering the electrical property values of the environment at the model subdomain to represent water contamination. The simulation results agree with the experimental trends. The star array configuration shows the highest simulated inductance and capacitance responses with the best signal strength and sensitivity. Moreover, experiments have been conducted to determine the relationship between sensor’s impedance and water contamination due to nitrate and sulphate. The sensors have been tested with added distilled water with different concentrations of nitrate and sulphate to observe the system performance. Experimental results show that the best sensor is the star array planar electromagnetic sensor. Artificial Neural Networks (ANN) is used to classify different levels of nitrate and sulphate contaminations in water sources. The impedance of star array planar electromagnetic sensors was derived to decompose by Wavelet Transform (WT). Classification of WT has been applied to extract output signal features. These features are fed into ANN to classify different nitrate and sulphate concentration levels in water. The model is capable of distinguishing contaminants concentration level in the presence of other types of contaminants with a Root Mean Square Error (RMSE) of 0.0132 with 98.68% accuracy.
format	Thesis
qualification_level	Master's degree
author	Mohamad Nor, Alif Syarafi
author_facet	Mohamad Nor, Alif Syarafi
author_sort	Mohamad Nor, Alif Syarafi
title	Planar electromagnetic sensors array for nitrate and sulphate detection
title_short	Planar electromagnetic sensors array for nitrate and sulphate detection
title_full	Planar electromagnetic sensors array for nitrate and sulphate detection
title_fullStr	Planar electromagnetic sensors array for nitrate and sulphate detection
title_full_unstemmed	Planar electromagnetic sensors array for nitrate and sulphate detection
title_sort	planar electromagnetic sensors array for nitrate and sulphate detection
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2015
url	http://eprints.utm.my/id/eprint/48921/25/AlifSyarafiMFKE2015.pdf
_version_	1747817503121211392

Planar electromagnetic sensors array for nitrate and sulphate detection

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