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Evolving design model synchronization for system health management using Laplace approximation
Adewunmi, Adebayo Opeoluwa
Adewunmi, Adebayo Opeoluwa
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t15001_Adewunmi.pdf
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2015-05
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Abstract
Lifecycle health management plays an increasingly important role in realizing resilience
of aging complex engineered systems since it detects, diagnoses, and predicts system-wide
effects of adverse events, therefore enables a proactive approach to deal with system failures. To
address an increasing demand to develop high-reliability low-cost systems, this paper presents a
new platform for operational stage system health management, referred to as Evolving Design
Model Synchronization (EDMS), which enables health management of aging engineered systems
by efficiently synchronizing system design models with degrading health conditions of actual
physical system in operation. A Laplace approximation approach is employed for the design
model updating, which can incorporate heterogeneous operating stage information from multiple
sources to update the system design model based on the information theory, thereby increases the
updating accuracy compared with traditionally used Bayesian updating methodology. The design
models synchronized over time using sensory data acquired from the system in operation can
thus reflect system health degradation with evolvingly updated design model parameters, which
enables the application of failure prognosis for system health management. Two case studies are
used to demonstrate the efficacy of the proposed approach for system health management.
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Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Industrial and Manufacturing Engineering
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Wichita State University
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Copyright 2015 Adebayo Opeoluwa Adewunmi