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Determination of Reliability (Probability of Failure) of Systems with N Standby Components and Model for its Optimizing and a Model for Determining the Maintenance Time Interval

Afzali, Faridoddin | 2013

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 44069 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Rashtchian, Davood
  7. Abstract:
  8. In modern society, engineers, technical managers are responsible for planning, design, construction, exploitation of simplest to most complex systems. Crashes cause disruption of systems at different levels and can be considered as a serious threat to society and the environment, thus consumers and people expect reliable products and systems. There are different methods for increasing the reliability of systems, one of them is related to their quality and another way is related to use of standby systems. Also maintenance and repairing have major role for keeping up reliability or availability of systems. In the first part of project, optimization the reliability of system by standby components is reviewed. The method of optimization is genetic algorithms. In this work space limitation or restrictions on the use of certain number of standby systems are analyzed as function .All standby components have different failure rate .Standby systems doesn't start to work until major component stop from working. Formulas of reliability that are used in this state have major different with respect to the parallel mode. Reliability of system is function to be optimized. In addition of space limitation, other parameters like amount of fund for buying standby systems and mission time are used. In the second part of project a model for determining maintenance interval of system is presented. The parameters of this model are reliability, cost of maintenance and repairing and time of replacement when the destroied system is replaced with new one. In this model maintenance doesn't bring back system to its original state
  9. Keywords:
  10. Genetic Algorithm ; Maintenance ; Repair-Replacement Policy ; Standby Systems

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