Date of Award

Fall 2008

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Mechanical & Aerospace Engineering

Program/Concentration

Mechanical Engineering

Committee Director

Han P. Bao

Committee Member

Gene J. W. Hou

Committee Member

Abdelmageed Elmustafa

Call Number for Print

Special Collections; LD4331.E56 J35 2008

Abstract

The failure repair process of a continuously operating device is studied in this research. Different cases that incorporate modeling of equipment deterioration, inspection, and maintenance for optimal maintenance policy are proposed. Markov processes are used to determine state probabilities, and the optimal value of the mean time to preventive maintenance is determined by maximizing the availability of the equipment with respect to the mean time preventive maintenance. The approach uses models that assume that equipment can fail due to both deterioration and random failures. Preventive maintenance can be performed from each working state to avoid deterioration failure. Economic effects are integrated into all the models to determine the costs associated with the preventive maintenance policy. The computational work involved in developing algorithmic solutions for the developed Markov models is perfom1ed using Matlab® software. The results of how the obtained maintenance rate impacts the equipment availability are discussed. This study is helpful for engineers to dete1111ine optimal maintenance policy of equipment.

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In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).

DOI

10.25777/b1hk-b131

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