Analysis of a system with components having interdependent reliability characteristics

dc.contributor.advisorDawkins, George S.
dc.contributor.committeeMemberDonaghey, Charles E.
dc.contributor.committeeMemberHenley, Ernest J.
dc.creatorLustri, Philip Richard
dc.description.abstractIt is shown that each of three approaches: 1. Markov analysis, 2. Joint-density-function, 3. Compound events, when applied to a system involving interdependent hazard functions, leads to the same expression for reliability of the system studied. Results of stochastic simulation are compared with results of numeric integration of the Markov rate equations. This is carried out for the system which was analyzed mathematically as well as for a system involving hazard functions linear with time. A generalized algorithm is suggested for developing transition matrices for larger, more complex systems.
dc.description.departmentIndustrial Engineering, Department of
dc.format.digitalOriginreformatted digital
dc.rightsThis item is protected by copyright but is made available here under a claim of fair use (17 U.S.C. Section 107) for non-profit research and educational purposes. Users of this work assume the responsibility for determining copyright status prior to reusing, publishing, or reproducing this item for purposes other than what is allowed by fair use or other copyright exemptions. Any reuse of this item in excess of fair use or other copyright exemptions requires express permission of the copyright holder.
dc.titleAnalysis of a system with components having interdependent reliability characteristics
dc.type.genreThesis College of Engineering Engineering, Department of Engineering of Houston of Science


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