Publication:
A comparative study on interior acoustic comfort level of compact cars using data mining approach

cris.author.scopus-author-id 57216674631
cris.author.scopus-author-id 38561331300
cris.author.scopus-author-id 56066275300
cris.author.scopus-author-id 36656452500
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtualsource.department 97249ac5-6bf2-440d-b171-28ee875c9f9c
cris.virtualsource.department 62a947df-5935-4418-94ae-670a14d2cf03
dc.contributor.author Azuddin K.A.
dc.contributor.author Ahmad Kadri Junoh
dc.contributor.author Mohamed Z.
dc.contributor.author Md. Tasyrif bin Abdul Rahman
dc.date.accessioned 2024-09-27T02:01:09Z
dc.date.available 2024-09-27T02:01:09Z
dc.date.issued 2020-01-01
dc.description.abstract Vehicle acoustic comfort is one of the ergonomic measurement criteria that are essential for car occupants. Furthermore, interior cabin noise of a car may affect the driver's concentration when driving. This study is to investigate the noise comfort level of car interior on several compact cars. The objective is to measure interior cabin noise for all three cars and then to compare their acoustic comfort level using subfield data mining approach. A deduction was made to rate the best car among the three in term of acoustic comfort. The interior cabin noise was obtained for the cases where engine speed is varied while the cars are in stationary and moving condition. The noise was assessed according to pre-determined subjective and objective criteria. The sound quality parameters was assessed by regression analysis. In subjective assessment, the recorded noise was evaluated based on jury assessment. Then, the data mining approach was implemented to illustrate the noise level. The collected noise data were divided into five clusters through hierarchical clustering method. To assess the accuracy of noise data clusters, the method of k-nearest neighbours was performed and the results show a high accuracy rate (> 95%). Finally, the interior noise of the three cars was compared by using the analysis of variation. The vehicle acoustic comfort index was produced for the three cars tested in this study. In addition, the acoustic quality among the three cars is presented using anova. Annoyance index of the three cars was generated using data mining method. From the results, Axia car model has the best acoustic comfort compared to the other two cars by objective evaluation. By subjective evaluation, Axia car model recorded the lowest level of annoyance.
dc.identifier.doi 10.15282/IJAME.17.1.2020.17.0572
dc.identifier.scopus 2-s2.0-85084252068
dc.identifier.uri https://hdl.handle.net/20.500.14170/4366
dc.relation.grantno undefined
dc.relation.ispartof International Journal of Automotive and Mechanical Engineering
dc.relation.ispartofseries International Journal of Automotive and Mechanical Engineering
dc.relation.issn 22298649
dc.rights open access
dc.subject Acoustical noise | Automotive | Clustering and classification
dc.title A comparative study on interior acoustic comfort level of compact cars using data mining approach
dc.type Journal
dspace.entity.type Publication
oaire.citation.endPage 7708
oaire.citation.issue 1
oaire.citation.startPage 7695
oaire.citation.volume 17
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Pahang Al-Sultan Abdullah
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation Universiti Malaysia Perlis
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person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.scopus-author-id 57216674631
person.identifier.scopus-author-id 38561331300
person.identifier.scopus-author-id 56066275300
person.identifier.scopus-author-id 36656452500
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