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dc.contributor.advisorSteven B. Leeb and Daisy H. Green.en_US
dc.contributor.authorKidwell, Stephen Bradley.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Mechanical Engineering.en_US
dc.date.accessioned2020-09-03T16:48:41Z
dc.date.available2020-09-03T16:48:41Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/126992
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, May, 2020en_US
dc.descriptionThesis: S.M. in Naval Architecture and Marine Engineering, Massachusetts Institute of Technology, Department of Mechanical Engineering, May, 2020en_US
dc.descriptionCataloged from the official PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 249-251).en_US
dc.description.abstractNon-intrusive load monitoring experiments have provided useful information in practice for activity tracking, condition-based maintenance, energy scorekeeping, and fault detection through various installations over several decades. Changes in power transient behavior on electrical loads are indicative of soft faults and progressive failure. With the correct tools for laboratory and field experimentation, a library of power stream data gives researchers the signatures or observations of transient behavior required to fully identify the range of healthy and faulted behaviors that may appear, allowing for actual soft fault scenarios to be identified prior to vital equipment failure. With recent advances in power monitoring technology, lab experimentation can occur at a much greater capacity with the ability to manipulate load actuation metrics and acquire power trace data en masse. Also, reliable sensors can be installed on maritime assets in a short timeframe with extremely small footprints, allowing data collection from field studies to occur much more easily. With a vast amount of valuable data onhand, a shipboard power simulator was created to model power streams of real and theoretical shipboard power distribution systems in various operating conditions, allowing researchers access to useful data for assesment of power metrics in system design and valuation.en_US
dc.description.statementofresponsibilityby Stephen Bradley Kidwell.en_US
dc.format.extent251 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectMechanical Engineering.en_US
dc.titleShipboard fault detection, load transient exploration, and power simulationen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.description.degreeS.M. in Naval Architecture and Marine Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.identifier.oclc1192494659en_US
dc.description.collectionS.M. Massachusetts Institute of Technology, Department of Mechanical Engineeringen_US
dc.description.collectionS.M.inNavalArchitectureandMarineEngineering Massachusetts Institute of Technology, Department of Mechanical Engineeringen_US
dspace.imported2020-09-03T16:48:41Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentMechEen_US


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