Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/9032
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dc.contributor.authorKaymak, E-
dc.contributor.authorAtherton, MA-
dc.contributor.authorRotter, K-
dc.contributor.authorMillar, B-
dc.date.accessioned2014-09-09T10:40:09Z-
dc.date.available2014-09-09T10:40:09Z-
dc.date.issued2007-
dc.identifier.citationInter-noise 2007, Istanbul, Turkey: 110 - 118, 29-31 Aug 2007en_US
dc.identifier.isbn9781605603858-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/9032-
dc.description.abstractDental drills produce a characteristic high frequency, narrow band noise that is uncomfortable for patients and is also known to be harmful to dentists under prolonged exposure. It is therefore desirable to protect the patient and dentist whilst allowing two-way communication. A solution is to use a combination of the three main noise control methods, namely, Passive Noise Control (PNC), Adaptive Filtering (AF) and Active Noise Control (ANC). This paper discusses the application of the three methods to reduce dental drill noise while allowing two-way communication. Experimental setup for measuring the noise reduction by PNC is explained and results from different headphones and headphone types are presented. The implementation and results of an AF system using the Least Mean Square (LMS) algorithm are shown. ANC requires a modification of the LMS algorithm due to the introduction of the electro-acoustical cancellation path transfer function to compensate for the delays introduced by the control system. Therefore a cancellation path transfer function modeling method based on the filtered reference LMS (FXLMS) algorithm is presented along with preliminary results of the implementation.en_US
dc.language.isoenen_US
dc.publisherTurkish Acoustical Societyen_US
dc.subjectDental drillsen_US
dc.subjectPassive Noise Control (PNC)en_US
dc.subjectAdaptive Filtering (AF)en_US
dc.subjectActive Noise Control (ANC)en_US
dc.titleDental drill noise reduction using a combination of active noise control, passive noise control and adaptive filteringen_US
dc.typeConference Paperen_US
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pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Mechanical, Aerospace and Civil Engineering-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Mechanical, Aerospace and Civil Engineering/Mechanical and Aerospace Engineering-
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pubs.organisational-data/Brunel/Brunel Staff by Institute/Theme/Institute of Materials and Manufacturing-
pubs.organisational-data/Brunel/Brunel Staff by Institute/Theme/Institute of Materials and Manufacturing/Design for Sustainable Manufacturing-
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pubs.organisational-data/Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups/Centre for Research into Entrepreneurship, International Business and Innovation in Emerging Markets-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute for Ageing Studies-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute of Cancer Genetics and Pharmacogenomics-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Centre for Systems and Synthetic Biology-
Appears in Collections:Mechanical and Aerospace Engineering
Dept of Mechanical and Aerospace Engineering Research Papers

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