Acoustic Sensing and Noise Identification of a Heating, Ventilation and Air Conditioning Unit: Industrial Case Study

Reducing the noise and improving the sound quality of vehicles’ interior space is one of the challenges to enhance passengers’ experience. This is an ever-growing issue as entirely electric cars are becoming commonplace, making previously unnoticed noise a significant problem. Heating, Ventilation a...

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Autores principales:	Stephen Grigg, Zeyad Yousif Abdoon Al-Shibaany, Matthew Robert Pearson, Rhys Pullin, Paul Calderbank
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	acoustic camera HVAC noise identification Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/919fc5a2c98d44c8830818d737840ca0
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id	oai:doaj.org-article:919fc5a2c98d44c8830818d737840ca0
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spelling	oai:doaj.org-article:919fc5a2c98d44c8830818d737840ca02021-11-11T14:57:38ZAcoustic Sensing and Noise Identification of a Heating, Ventilation and Air Conditioning Unit: Industrial Case Study10.3390/app112198112076-3417https://doaj.org/article/919fc5a2c98d44c8830818d737840ca02021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/9811https://doaj.org/toc/2076-3417Reducing the noise and improving the sound quality of vehicles’ interior space is one of the challenges to enhance passengers’ experience. This is an ever-growing issue as entirely electric cars are becoming commonplace, making previously unnoticed noise a significant problem. Heating, Ventilation and Air Conditioning (HVAC) units are a major noise source in a vehicle’s interior space, yet automotive manufacturers only give a maximum dB specification to HVAC unit manufactures. Problematic noise is only typically identified once the unit is within the vehicle at the late stages of a project. Psychoacoustics is the study of human perception to sound, allowing unpleasant noise to be identified within recorded data. Within this study, an industrial prototype HVAC unit was analysed using a 96-channel acoustic camera capable of isolating and locating noise sources from the unit using beamforming. In addition to identifying the location of noise sources, several psychoacoustic metrics were used, such as sharpness and loudness, to identify undesirable noise within an extensive data set due to the vast range of test configurations. Testing was conducted to analyse the unit. Within the initial testing, an ‘annoying’ sound was identified at a particular motor RPM, and this was located using the camera to an area which indicated that it was a result of structural resonance. In addition, present was a high-frequency source which could not be located accurately. The results of this testing enable modifications to the unit to be made early in its’ development, either structurally to alter the resonance of the unit or within the settings to ensure certain RPMs are avoided.Stephen GriggZeyad Yousif Abdoon Al-ShibaanyMatthew Robert PearsonRhys PullinPaul CalderbankMDPI AGarticleacoustic cameraHVACnoise identificationTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 9811, p 9811 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	acoustic camera HVAC noise identification Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	acoustic camera HVAC noise identification Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Stephen Grigg Zeyad Yousif Abdoon Al-Shibaany Matthew Robert Pearson Rhys Pullin Paul Calderbank Acoustic Sensing and Noise Identification of a Heating, Ventilation and Air Conditioning Unit: Industrial Case Study
description	Reducing the noise and improving the sound quality of vehicles’ interior space is one of the challenges to enhance passengers’ experience. This is an ever-growing issue as entirely electric cars are becoming commonplace, making previously unnoticed noise a significant problem. Heating, Ventilation and Air Conditioning (HVAC) units are a major noise source in a vehicle’s interior space, yet automotive manufacturers only give a maximum dB specification to HVAC unit manufactures. Problematic noise is only typically identified once the unit is within the vehicle at the late stages of a project. Psychoacoustics is the study of human perception to sound, allowing unpleasant noise to be identified within recorded data. Within this study, an industrial prototype HVAC unit was analysed using a 96-channel acoustic camera capable of isolating and locating noise sources from the unit using beamforming. In addition to identifying the location of noise sources, several psychoacoustic metrics were used, such as sharpness and loudness, to identify undesirable noise within an extensive data set due to the vast range of test configurations. Testing was conducted to analyse the unit. Within the initial testing, an ‘annoying’ sound was identified at a particular motor RPM, and this was located using the camera to an area which indicated that it was a result of structural resonance. In addition, present was a high-frequency source which could not be located accurately. The results of this testing enable modifications to the unit to be made early in its’ development, either structurally to alter the resonance of the unit or within the settings to ensure certain RPMs are avoided.
format	article
author	Stephen Grigg Zeyad Yousif Abdoon Al-Shibaany Matthew Robert Pearson Rhys Pullin Paul Calderbank
author_facet	Stephen Grigg Zeyad Yousif Abdoon Al-Shibaany Matthew Robert Pearson Rhys Pullin Paul Calderbank
author_sort	Stephen Grigg
title	Acoustic Sensing and Noise Identification of a Heating, Ventilation and Air Conditioning Unit: Industrial Case Study
title_short	Acoustic Sensing and Noise Identification of a Heating, Ventilation and Air Conditioning Unit: Industrial Case Study
title_full	Acoustic Sensing and Noise Identification of a Heating, Ventilation and Air Conditioning Unit: Industrial Case Study
title_fullStr	Acoustic Sensing and Noise Identification of a Heating, Ventilation and Air Conditioning Unit: Industrial Case Study
title_full_unstemmed	Acoustic Sensing and Noise Identification of a Heating, Ventilation and Air Conditioning Unit: Industrial Case Study
title_sort	acoustic sensing and noise identification of a heating, ventilation and air conditioning unit: industrial case study
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/919fc5a2c98d44c8830818d737840ca0
work_keys_str_mv	AT stephengrigg acousticsensingandnoiseidentificationofaheatingventilationandairconditioningunitindustrialcasestudy AT zeyadyousifabdoonalshibaany acousticsensingandnoiseidentificationofaheatingventilationandairconditioningunitindustrialcasestudy AT matthewrobertpearson acousticsensingandnoiseidentificationofaheatingventilationandairconditioningunitindustrialcasestudy AT rhyspullin acousticsensingandnoiseidentificationofaheatingventilationandairconditioningunitindustrialcasestudy AT paulcalderbank acousticsensingandnoiseidentificationofaheatingventilationandairconditioningunitindustrialcasestudy
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Acoustic Sensing and Noise Identification of a Heating, Ventilation and Air Conditioning Unit: Industrial Case Study

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