A framework to model reliability and failures in complex systems during the early engineering design process Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/dr26z2006

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  • An open area of research in complex systems is to move reliability and failure assessments earlier in the engineering design process. When compared to later design, early decisions are cost effective and have a large impact on the system. Standard methods are limited by the availability of data and often rely on detailed representations of the system. This dissertation will focus on this need by developing an Early Design Reliability and Failure Modeling framework. This framework presents a suite of engineering design methods used to assess reliability and failure modes during the early design process. Several instances are provided to show how specialized data sets can be developed that are specific to early design applications. Specific importance in this dissertation will be placed on design theory and methodology to support decision making. Overall these methods address important early design considerations including the automated identification and mitigation of high-occurrence failure modes, the abstraction level of failure modes and mechanisms, quantifying uncertainty and functional reliability, a customer's risk of losing functionality, a system's risk to a set of failure modes, and the behavior modeling of important failure modes.
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  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2013-06-06T16:35:37Z (GMT) No. of bitstreams: 2 license_rdf: 1089 bytes, checksum: 0a703d871bf062c5fdc7850b1496693b (MD5) PhD Mechanical Engineering - Dissertation - Ver 1.3.pdf: 31544686 bytes, checksum: c4838b6187785fbab5858001ed3cf712 (MD5)
  • description.provenance : Made available in DSpace on 2013-06-11T21:43:16Z (GMT). No. of bitstreams: 2 license_rdf: 1089 bytes, checksum: 0a703d871bf062c5fdc7850b1496693b (MD5) PhD Mechanical Engineering - Dissertation - Ver 1.3.pdf: 31544686 bytes, checksum: c4838b6187785fbab5858001ed3cf712 (MD5) Previous issue date: 2013-05-03
  • description.provenance : Submitted by Bryan O Halloran (ohallorb@onid.orst.edu) on 2013-06-06T15:46:52Z No. of bitstreams: 2 license_rdf: 1089 bytes, checksum: 0a703d871bf062c5fdc7850b1496693b (MD5) PhD Mechanical Engineering - Dissertation - Ver 1.3.pdf: 31544686 bytes, checksum: c4838b6187785fbab5858001ed3cf712 (MD5)
  • description.provenance : Approved for entry into archive by Laura Wilson(laura.wilson@oregonstate.edu) on 2013-06-11T21:43:15Z (GMT) No. of bitstreams: 2 license_rdf: 1089 bytes, checksum: 0a703d871bf062c5fdc7850b1496693b (MD5) PhD Mechanical Engineering - Dissertation - Ver 1.3.pdf: 31544686 bytes, checksum: c4838b6187785fbab5858001ed3cf712 (MD5)

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