ECE Doctor of Philosophy Dissertation Defense By: Bentolhoda Jafary
When: Tuesday,
August 20, 2019
11:00 AM
-
1:00 PM
Where: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
Cost: free
Description: Topic: Reliability and Maintenance Modeling of Systems Subject to Positive and Negatively Correlated Component Failure
Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A
ABSTRACT:
Modern society increasingly depends on engineered systems in diverse ï¬elds such as defense, communication, and healthcare. Both the reliability and maintainability of these systems is therefore paramount. Past research had developed models to identify optimal periodic maintenance policies such as those that minimize cost or maximize availability. However, these maintenance policies may be suboptimal when the components of a system are subject to correlated or dependent failure. Moreover, the vast majority of past research on correlated and dependent failure is focused on positive correlation and dependence, yet negative correlation and dependence are also important to the design of resilient systems. To address these limitations, this dissertation makes several modeling and methodological contributions in the context of a variety of system and software reliability and maintenance contexts, including binary state systems, consecutive k-out-of-n: failed systems composed of multi-state components, and a software computation subject to checkpointing operations. Primary contribution include: (i) models and methods to quantify the impact of correlated failures on maintenance models in order to identify optimal maintenance intervals despite correlated failures and (ii) efï¬cient methods to obtain algebraic expressions with explicit correlation parameters as well as exact numerical methods for the reliability of systems composed of non-identical components and arbitrary combinations of nonidentical positive and negative correlations between the failures of the components.
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Lance Fiondella
Committee Members: Dr. Hong Liu and Dr. Liudong Xing, Department of Electrical & Computer Engineering, UMass Dartmouth; Dr. Donghui Yan, Department of Mathematics, UMass Dartmouth;
Dr. Mark White, NASA Jet Propulsion Laboratory
*For further information, please contact Dr. Lance Fiondella at 508.999.8596, or via email at lfiondella@umassd.edu.
Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A
ABSTRACT:
Modern society increasingly depends on engineered systems in diverse ï¬elds such as defense, communication, and healthcare. Both the reliability and maintainability of these systems is therefore paramount. Past research had developed models to identify optimal periodic maintenance policies such as those that minimize cost or maximize availability. However, these maintenance policies may be suboptimal when the components of a system are subject to correlated or dependent failure. Moreover, the vast majority of past research on correlated and dependent failure is focused on positive correlation and dependence, yet negative correlation and dependence are also important to the design of resilient systems. To address these limitations, this dissertation makes several modeling and methodological contributions in the context of a variety of system and software reliability and maintenance contexts, including binary state systems, consecutive k-out-of-n: failed systems composed of multi-state components, and a software computation subject to checkpointing operations. Primary contribution include: (i) models and methods to quantify the impact of correlated failures on maintenance models in order to identify optimal maintenance intervals despite correlated failures and (ii) efï¬cient methods to obtain algebraic expressions with explicit correlation parameters as well as exact numerical methods for the reliability of systems composed of non-identical components and arbitrary combinations of nonidentical positive and negative correlations between the failures of the components.
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Lance Fiondella
Committee Members: Dr. Hong Liu and Dr. Liudong Xing, Department of Electrical & Computer Engineering, UMass Dartmouth; Dr. Donghui Yan, Department of Mathematics, UMass Dartmouth;
Dr. Mark White, NASA Jet Propulsion Laboratory
*For further information, please contact Dr. Lance Fiondella at 508.999.8596, or via email at lfiondella@umassd.edu.
Contact:
ECE: Electrical & Computer Engineering Department 508.999.9164 http://www.umassd.edu/engineering/ece/
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