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Process Sensors, Simulation, and Control to Build in Reliability

dc.contributor.authorRubloff, G.W.en_US
dc.date.accessioned2007-05-23T10:03:30Z
dc.date.available2007-05-23T10:03:30Z
dc.date.issued1997en_US
dc.identifier.urihttp://hdl.handle.net/1903/5839
dc.description.abstractBuilding a reliability is fundamentally difficult because detailed mechanistic origins of reliability failures are not commonly known. Controlled process experiments and sophisticated characterization methods offer hope of revealing mechanisms more broadly. Real-time and in-line sensors present perhaps even more potential in two cases, (1) when their information is correlated with reliability performance, and (2) when used to achieve process control through course correction and/or fault management; the later has special value in difficult situations where the reliability failure emerges from process integration sensitivities. Integrated modeling and simulation structures provide a vehicle for broad knowledge capture, and enabler of design optimization from reliability and other metrics, and a platform for effective process control.en_US
dc.format.extent743715 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1997-1en_US
dc.subjectchemical process controlen_US
dc.subjectoptimizationen_US
dc.subjectsimulationen_US
dc.subjectoptimizationen_US
dc.subjectflexible manufacturingen_US
dc.subjectmanufacturabilityen_US
dc.subjectIntelligent Control Systemsen_US
dc.titleProcess Sensors, Simulation, and Control to Build in Reliabilityen_US
dc.typeTechnical Reporten_US
dc.contributor.departmentISRen_US


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