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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

Reliability the life cycle driver : an examination of reliability management culture and practices /

Masiello, Gregory L. January 2002 (has links) (PDF)
Thesis (M.S.)--Naval Postgraduate School, 2002. / Thesis advisor(s): Donald R. Eaton, Lee Edwards. Includes bibliographical references (p. 101-104). Also available online.

Reliability analysis of the 4.5 roller bearing /

Muller, Cole. January 2003 (has links) (PDF)
Thesis (M.S. in Applied Science (Operations Research))--Naval Postgraduate School, June 2003. / Thesis advisor(s): David H. Olwell, Samuel E. Buttrey. Includes bibliographical references (p. 65). Also available online.

An application of fault tree analysis to operational testing

Rankin, Gordon Lee 08 1900 (has links)
No description available.

System dependability analysis and evaluation /

Yang, Joseph Sang-chin. January 1994 (has links)
Report (M.S.)--Virginia Polytechnic Institute and State University, 1994. / Abstract. Includes bibliographical references (leaves 82-89). Also available via the Internet.

Customer-centered reliability measures for flexible multistate reliability models /

Brunelle, Russell Dedric. January 1998 (has links)
Thesis (Ph. D.)--University of Washington, 1998. / Vita. Includes bibliographical references (p. [133]-162).

A univariate decomposition method for higher-order reliability analysis and design optimization

Wei, Dong. January 2006 (has links)
Thesis (Ph.D.)--University of Iowa, 2006. / Supervisor: Sharif Rahman. Includes bibliographical references (leaves 221-230).


WU, YIH-TSUEN. January 1984 (has links)
Three fundamental problems of mechanical reliability are addressed. (1) computing the probability of failure, p(f), of a component having design factors with known statistical distributions and a limit state with a closed form algebraic expression (2) computing the probability of failure of a component having design factors with known distributions and a limit state which can only be expressed by a computer algorithm, and (3) deriving safety check expressions in a "design by reliability" approach. An algorithm for generating estimates of p(f) is presented. The method is an extension of, and demonstrated to be a significant improvement to, the widely used Rackwitz-Fiessler (R-F) method--a fast and efficient numerical method for performing reliability analysis. Comparisons were made for numerous examples, it was found that the error in p(f), using the proposed method, is typically about half of the error in R-F estimates. A method was proposed for computing p(f) when the relationship between design factors can be defined only using a computer algorithm, e.g., finite element analysis. A second order polynomial is constructed, using a simple curve fitting routine, to approximate the limit state in the neighborhood of the design point (i.e., a point close to the most likely value of the design variables at failure). Then the R-F method can be applied easily. It is demonstrated that this scheme is much faster than the Monte Carlo method in producing reasonable estimates of p(f). Methods of deriving safety check expressions for design codes and design criteria documents are studied. A Level I format employing partial safety factors derived from Level II methods is used to construct the safety check expressions which are suitable for code development. The procedures are demonstrated using numerous examples which include the problems where the limit states are complicated, i.e., the limit states are not explicitly defined.

The influence of critical asset management facets on improving reliability in power systems

Perkel, Joshua. January 2008 (has links)
Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2009. / Committee Chair: Begovic, Miroslav; Committee Member: Hampton, Nigel; Committee Member: Harley, Ronald; Committee Member: Michaels, Thomas; Committee Member: Vidakovic, Brani. Part of the SMARTech Electronic Thesis and Dissertation Collection.

Standby redundancy in reliability a review :

Reddy, A. Prabhakar January 2010 (has links)
Typescript (photocopy). / Digitized by Kansas Correctional Industries

Development of a generic methodology for probabilistically predicting the reliability of offshore mechanical components at the design stage

Warburton, Daren January 2000 (has links)
The continuously developing requirements of the offshore oil and gas Operators are placing more stringent demands on the designers to produce optimised solutions, with reduced development schedules, and application of new technologies for extreme environmental and operational conditions. The compounding uncertainty of service conditions and in the design capabilities is causing the designer to over-design, conduct extensive pre-service testing and introduce design redundancy. As such, designers have been forced to turn to reliability techniques in order to quantify the life of their designs. This has extended as far as needing to integrate reliability concepts, tools and methodologies into the design process. In recent times, the industry has attempted to apply conventional reliability tools within the design process, in terms of failure identification and reliability quantification. However, the use of historical reliability data has shown to be a particular downfall. As such, there has been a drive to predict the reliability of mechanical components based on their underlying degradation and failure processes and mechanisms. Consequently, this research is initially concerned with the development of a methodology, including an assessment of existing methods, that could be used to more readily understand the underlying failure characteristics of a mechanical component in terms of material, geometrical, environmental and operational characteristics. A particular underlying mechanism has been chosen and mathematical models were developed that simulate its physical behaviour and its degradation characteristics. Additionally, due to the potential uncertainty in the models and limited understanding of the characteristics of the underlying mechanism, the model was simulated within a probabilistic framework, fundamentally by application of the stress strength interference modelling approach. Finally, the model and its parameters were assessed to determine how uncertain governing parameters could appear to lead to variations in the reliability of the actuator.

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