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

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