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Creator:: Murphy, Michael D., 1965-
Abstract:: Design phase decisions based on diagnosability lead to lower system costs and, in turn, higher quality products by means of reducing maintenance time and increasing system reliability. A case for diagnosability is presented. Functions of diagnosability are expounded upon including life cycle costs, statistical analysis, and design criterion to emphasize...
Resource Type:: Masters Thesis
Full Text:: knowledge and experience. Regardless of the specific parameter, if the mathematical model of a statistical

Creator:: O'Halloran, Bryan M.
Abstract:: 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...
Resource Type:: Dissertation
Full Text:: Mechanical Engineering presented on May 3, 2013. Title: A FRAMEWORK TO MODEL RELIABILITY AND FAILURES IN

Creator:: Nahan, Matthew F.
Abstract:: Design of commercial aircraft structure, composed of composite material, requires the prediction of failure loads given large scale damage. In particular, a fuselage of graphite/epoxy lamination was analyzed for damage tolerance given a standard large crack that severed both skin and internal structure. Upon loading, a zone of damage is...
Resource Type:: Dissertation
Full Text:: softening. This investigation sought to develop a computational model that simulates progressive damage

Creator:: McIntire, Matthew G.
Abstract:: In order to more effectively design large, complex systems, risk must be accounted for throughout the design process. A systematic way to account for risk is by using system model simulation. During the conceptual design phase, functional models can be drawn to help the engineer design their system's functional architecture....
Resource Type:: Dissertation
Full Text:: the degree of Doctor of Philosophy in Mechanical Engineering presented on November 30, 2016. Title

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