Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/3407
DC FieldValueLanguage
dc.contributor.authorLeung, Andrew Yee Taken_US
dc.contributor.otherLi, W.-
dc.contributor.otherGu, F.-
dc.contributor.otherBall, A. D.-
dc.date.accessioned2022-06-14T06:05:42Z-
dc.date.available2022-06-14T06:05:42Z-
dc.date.issued2000-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/3407-
dc.description.abstractThe continuous wavelet transform (CWT) is applied to analyse the acoustic signals obtained from a diesel engine. First a brief review in the analysis of engine acoustic signals is given. To obtain condition-indicating information, the characteristics and implementation of the CWT are addressed. Its capability of time-frequency localisation is demonstrated using a numerical example. The CWT representation of the acoustic signals exhibits a clear picture of the combustion process. The feature is then quantified using a local energy index. The results show that the method is able to discriminate a number of abnormal injection faults.en_US
dc.language.isoenen_US
dc.titleApplying the continuous wavelet transform to the analysis of diesel engine conditionsen_US
dc.typeconference paperen_US
dc.relation.conferenceInternational Conference on Computational and Experimental Methods in Reciprocating Enginesen_US
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.cihe.affiliatedNo-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairetypeconference paper-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.cerifentitytypePublications-
crisitem.author.deptYam Pak Charitable Foundation School of Computing and Information Sciences-
Appears in Collections:CIS Publication
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