System-level health assessment of complex engineered processes

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1853/37260

Title: System-level health assessment of complex engineered processes
Author: Abbas, Manzar
Abstract: Condition-Based Maintenance (CBM) and Prognostics and Health Management (PHM) technologies aim at improving the availability, reliability, maintainability, and safety of systems through the development of fault diagnostic and failure prognostic algorithms. In complex engineering systems, such as aircraft, power plants, etc., the prognostic activities have been limited to the component-level, primarily due to the complexity of large-scale engineering systems. However, the output of these prognostic algorithms can be practically useful for the system managers, operators, or maintenance personnel, only if it helps them in making decisions, which are based on system-level parameters. Therefore, there is an emerging need to build health assessment methodologies at the system-level. This research employs techniques from the field of design-of-experiments to build response surface metamodels at the system-level that are built on the foundations provided by component-level damage models.
Type: Dissertation
URI: http://hdl.handle.net/1853/37260
Date: 2010-11-18
Publisher: Georgia Institute of Technology
Subject: Fault diagnostics
Failure prognostics
Response surface metamodels
Condition-based maintenance (CBM)
Design of experiments (DOE)
Prognostics and health management (PHM)
System-levl
Systems engineering
Department: Electrical and Computer Engineering
Advisor: Committee Chair: Dr. George Vachtsevanos; Committee Member: Aldo Al Ferri; Committee Member: Gregory David Durgin; Committee Member: Jennifer E. Michaels; Committee Member: Thomas G. Habetler
Degree: Ph.D.

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