HEAL DSpace

Time frequency analysis and event detection in noise signals

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dc.contributor.author Sarris, JC en
dc.contributor.author Dalianis, SA en
dc.contributor.author Cambourakis, GE en
dc.contributor.author Hammond, JK en
dc.date.accessioned 2014-03-01T02:49:17Z
dc.date.available 2014-03-01T02:49:17Z
dc.date.issued 2002 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/34470
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-13444310680&partnerID=40&md5=3a1a240ef5368614142dc9f06c03c45a en
dc.subject.other Condition monitoring en
dc.subject.other Diesel engines en
dc.subject.other Differential equations en
dc.subject.other Fourier transforms en
dc.subject.other Frequency domain analysis en
dc.subject.other Signal processing en
dc.subject.other Vibrations (mechanical) en
dc.subject.other Discrete time en
dc.subject.other Inversion formula en
dc.subject.other Spectrograms en
dc.subject.other Time frequency analysis en
dc.subject.other Acoustic noise en
dc.title Time frequency analysis and event detection in noise signals en
heal.type conferenceItem en
heal.publicationDate 2002 en
heal.abstract Linear time frequency analysis is employed for event detection in transportation noise signals and condition monitoring of marine diesel engines. Detected events in transportation noise signals are analysed in the time frequency domain and narrow band components of the signal are calculated in order to extract event types. In marine diesel engines shaft torque signals are monitored using the concept of a localised analysis in time and frequency to identify cylinder misfires. Local analysis is performed using a recursive implementation of the short-time Fourier transform. en
heal.journalName Proceedings of the 2002 International Conference on Noise and Vibration Engineering, ISMA en
dc.identifier.spage 1615 en
dc.identifier.epage 1620 en


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