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dc.contributor.advisorPecht, Michael Gen_US
dc.contributor.authorTuchband, Brian Adamen_US
dc.date.accessioned2007-06-22T05:40:12Z
dc.date.available2007-06-22T05:40:12Z
dc.date.issued2007-06-06
dc.identifier.urihttp://hdl.handle.net/1903/7026
dc.description.abstractAn assessment has been undertaken to identify the state-of-practice for prognostics and health management of electronics. Based on a review of the prognostic approaches, case studies, publications, and the extent of intellectual property of numerous organizations, I identified the companies, universities, and government branches that are currently researching, developing, and/or implementing prognostics for their products and systems. Next, I developed a sensor selection process such that an optimal sensor system can be chosen prior to in-situ life cycle monitoring of electronic products and systems. I developed a questionnaire that can be used to understand the monitoring requirements of a particular PHM application, and identified criteria that one needs to consider in the sensor selection process in order to make the relevant tradeoffs. Finally, I provided guidelines on sensor selection to help a user validate their final selection. The process was demonstrated for two circuit card assemblies inside an avionics unit.en_US
dc.format.extent747066 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.titleImplementation of Prognostics and Health Management for Electronic Systemsen_US
dc.typeThesisen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentMechanical Engineeringen_US
dc.subject.pqcontrolledEngineering, Electronics and Electricalen_US
dc.subject.pqcontrolledEngineering, Mechanicalen_US
dc.subject.pquncontrolledprognosticsen_US
dc.subject.pquncontrolledsensorsen_US
dc.subject.pquncontrolledhealth monitoringen_US
dc.subject.pquncontrolledelectronicsen_US
dc.subject.pquncontrolledstate of practiceen_US


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