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dc.contributor.authorShin, Y. S.
dc.contributor.authorJeon, Jae-Jin
dc.date8/17/1993
dc.date.accessioned2013-02-27T23:23:51Z
dc.date.available2013-02-27T23:23:51Z
dc.date.issued1993-08-17
dc.identifier.urihttp://hdl.handle.net/10945/28837
dc.descriptionApproved for public release; distribution is unlimited.en_US
dc.description.abstractWavelet transform is applied to the analysis of vibration signatures in order to verify the ability of the detection of abnormal condition. It can well describe the dynamics of the signal's spectral composition of a non- stationary and stationary signal to be measured and presented in the form of 3-D time-frequency map. Although wavelet has been developed over about ten years in the mathematics and physics, its engineering applications is a first stage. The objective of this report outlines the definition of the wavelet transform and is to discuss the properties of the wavelet transform as new tool for the vibration analysis, and then demonstrates how it may be applied to the machinery condition monitoring.en_US
dc.description.sponsorshipNaval Seas Systems Command and the Naval Postgraduate Schoolen_US
dc.description.urihttp://archive.org/details/wavelettransform00jeon
dc.format.extent63 p. : ill. ; 28 cm.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.subject.lcshSIGNATURESen_US
dc.titleWavelet transform for time-frequency analysis of vibrational signature and its applicationen_US
dc.typeReporten_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentMechanical Engineering
dc.subject.authorWavelet Transformen_US
dc.subject.authorGaussian Waveleten_US
dc.subject.authorVibration Signature Analysisen_US
dc.subject.authorTime-Frequency Domainen_US
dc.description.funderN0002493WR02460 and MESG1en_US
dc.identifier.oclca192463
dc.identifier.npsreportNPS-ME-93-004


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