Masters Theses
Abstract
"This thesis focuses on developing a methodology for accurately estimating series system probability of failure. Existing methods for series system based design optimization are not that accurate because they assign reliability to each failure mode; as a result complete system reliability goes down. According to method proposed in this work, the user will assign required system reliability at the start and then optimizer will apportion reliability to every failure mode in order to meet required system reliability level. Detlevson second order upper bounds are used to estimate system probability of failure. Several examples have been shown to verify the results obtained"--Abstract, page iii.
Advisor(s)
Du, Xiaoping
Committee Member(s)
Hosder, Serhat
Takai, Shun
Department(s)
Mechanical and Aerospace Engineering
Degree Name
M.S. in Mechanical Engineering
Sponsor(s)
National Science Foundation (U.S.)
Publisher
Missouri University of Science and Technology
Publication Date
Fall 2009
Pagination
viii, 69 pages
Rights
© 2009 Gagandeep Singh Saini, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Subject Headings
Engineering design -- Reliability
Reliability (Engineering)
Systems engineering
Thesis Number
T 9585
Print OCLC #
612435296
Electronic OCLC #
468828245
Link to Catalog Record
Recommended Citation
Saini, Gagandeep Singh, "Reliability-based design with system reliability and design improvement" (2009). Masters Theses. 4721.
https://scholarsmine.mst.edu/masters_theses/4721