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dc.contributor.advisorShin, Young S.
dc.contributor.authorHarding, John E.
dc.dateSeptember, 1994
dc.date.accessioned2013-04-11T21:53:37Z
dc.date.available2013-04-11T21:53:37Z
dc.date.issued1994-09
dc.identifier.urihttp://hdl.handle.net/10945/30565
dc.description.abstractAccurate assessment of shipboard machinery condition is essential in increasing the operational capability of naval vessels. Current shipboard machinery vibration monitoring and diagnostic procedures use frequency domain spectra to identify possible faults and problem areas. This method has proven to be inadequate for reciprocating machinery analysis. In reciprocating machinery the vibration signal is no longer a stationary, ergodic process, but is time-dependent and in some cases transient. This study proposes the use of Pseudo Wigner-Ville Distribution and introduces Wavelet analysis as two advanced methods for condition monitoring of non-stationary and transient shipboard machinery. These methods employ a time-frequency domain distribution for the detection of fault location and severity level. To demonstrate the benefits of a time-frequency representation, vibration data from two types of reciprocating air compressors will be processed for analysis. To simulate faulty conditions, constructed artificial fault signals will be introduced into the vibration data and analyzed. It is proposed Wavelet Analysis will play a complementary role to the Pseudo Wigner-Ville Distribution technique.en_US
dc.description.urihttp://archive.org/details/timefrequencydom1094530565
dc.format.extentxii, 123 p.; 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.titleTime frequency domain distribution and its application to reciprocating machinery analysisen_US
dc.title.alternativeNAen_US
dc.typeThesisen_US
dc.contributor.departmentMechanical Engineering
dc.subject.authorNAen_US
dc.description.funderNAen_US
dc.description.recognitionNAen_US
dc.description.serviceU.S. Coast Guard (U.S.C.G.) author.en_US
etd.thesisdegree.nameM.S. in Mechanical Engineeringen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineMechanical Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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