A low-cost, portable, active noise control unit : an optimal fixed-filter active noise control solution for construction noise sources

Noise pollution affects millions of people daily and can also cause high blood pressure, lack of sleep, heart disease, and stress. In Singapore, one of the most common form of noise pollution is construction noise. Construction sites can have noise levels that is deemed hazardous and consist of tran...

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Main Author: Wee, Ervin Liang Zheng
Other Authors: Gan Woon Seng
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/149114
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1491142023-07-07T17:33:50Z A low-cost, portable, active noise control unit : an optimal fixed-filter active noise control solution for construction noise sources Wee, Ervin Liang Zheng Gan Woon Seng School of Electrical and Electronic Engineering EWSGAN@ntu.edu.sg Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Noise pollution affects millions of people daily and can also cause high blood pressure, lack of sleep, heart disease, and stress. In Singapore, one of the most common form of noise pollution is construction noise. Construction sites can have noise levels that is deemed hazardous and consist of transient situations where different trades come to the site to perform their work for at any point of time. The aim of this study is to investigate the most optimal fixed-filter Active Noise Control (ANC) system setting which can be used to improve the conventional fixed-filter ANC’s performance. This will involve data measurements on different noise sources used to train the fixed-filter ANC system and performance evaluation using an algorithm developed in MATLAB. The noise sources will also be tested with a real time fixed-filter ANC system with its performance data being collected as well. The collected data from both platforms will be used to perform feature extraction, classification, and validation. The performance indicators will then be reviewed are overall accuracy and reliability. After running through the MATLAB simulations, the results have shown that different noise sources have selective suitability to different construction noises. A total of 5 noise sources for training the ANC system and 13 construction noise samples were used in the analysis. Research findings are as reported in the conclusion section of this report. Bachelor of Engineering (Information Engineering and Media) 2021-05-31T06:43:37Z 2021-05-31T06:43:37Z 2021 Final Year Project (FYP) Wee, E. L. Z. (2021). A low-cost, portable, active noise control unit : an optimal fixed-filter active noise control solution for construction noise sources. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149114 https://hdl.handle.net/10356/149114 en A3081-201  application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Wee, Ervin Liang Zheng
A low-cost, portable, active noise control unit : an optimal fixed-filter active noise control solution for construction noise sources
description Noise pollution affects millions of people daily and can also cause high blood pressure, lack of sleep, heart disease, and stress. In Singapore, one of the most common form of noise pollution is construction noise. Construction sites can have noise levels that is deemed hazardous and consist of transient situations where different trades come to the site to perform their work for at any point of time. The aim of this study is to investigate the most optimal fixed-filter Active Noise Control (ANC) system setting which can be used to improve the conventional fixed-filter ANC’s performance. This will involve data measurements on different noise sources used to train the fixed-filter ANC system and performance evaluation using an algorithm developed in MATLAB. The noise sources will also be tested with a real time fixed-filter ANC system with its performance data being collected as well. The collected data from both platforms will be used to perform feature extraction, classification, and validation. The performance indicators will then be reviewed are overall accuracy and reliability. After running through the MATLAB simulations, the results have shown that different noise sources have selective suitability to different construction noises. A total of 5 noise sources for training the ANC system and 13 construction noise samples were used in the analysis. Research findings are as reported in the conclusion section of this report.
author2 Gan Woon Seng
author_facet Gan Woon Seng
Wee, Ervin Liang Zheng
format Final Year Project
author Wee, Ervin Liang Zheng
author_sort Wee, Ervin Liang Zheng
title A low-cost, portable, active noise control unit : an optimal fixed-filter active noise control solution for construction noise sources
title_short A low-cost, portable, active noise control unit : an optimal fixed-filter active noise control solution for construction noise sources
title_full A low-cost, portable, active noise control unit : an optimal fixed-filter active noise control solution for construction noise sources
title_fullStr A low-cost, portable, active noise control unit : an optimal fixed-filter active noise control solution for construction noise sources
title_full_unstemmed A low-cost, portable, active noise control unit : an optimal fixed-filter active noise control solution for construction noise sources
title_sort low-cost, portable, active noise control unit : an optimal fixed-filter active noise control solution for construction noise sources
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/149114
_version_ 1772828982350184448