Please use this identifier to cite or link to this item:
https://repository.cihe.edu.hk/jspui/handle/cihe/3407
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Leung, Andrew Yee Tak | en_US |
dc.contributor.other | Li, W. | - |
dc.contributor.other | Gu, F. | - |
dc.contributor.other | Ball, A. D. | - |
dc.date.accessioned | 2022-06-14T06:05:42Z | - |
dc.date.available | 2022-06-14T06:05:42Z | - |
dc.date.issued | 2000 | - |
dc.identifier.uri | https://repository.cihe.edu.hk/jspui/handle/cihe/3407 | - |
dc.description.abstract | The 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.iso | en | en_US |
dc.title | Applying the continuous wavelet transform to the analysis of diesel engine conditions | en_US |
dc.type | conference paper | en_US |
dc.relation.conference | International Conference on Computational and Experimental Methods in Reciprocating Engines | en_US |
dc.contributor.affiliation | School of Computing and Information Sciences | en_US |
dc.cihe.affiliated | No | - |
item.languageiso639-1 | en | - |
item.fulltext | No Fulltext | - |
item.openairetype | conference paper | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_5794 | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | Yam Pak Charitable Foundation School of Computing and Information Sciences | - |
Appears in Collections: | CIS Publication |
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