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Data Driven Framework for Prognostics

Abstract Prognostics and health management (PHM) is a method that permits the reliability of a system to be evaluated in its actual application conditions. This work involved developing a robust system to determine the advent of failure. Using the data from the PHM experiment, a model was developed to estimate the prognostic features and build a condition based system based on measured prognostics. To enable prognostics, a framework was developed to extract load parameters required for damage assessment from irregular time-load data. As a part of the methodology, a database engine was built to maintain and monitor the experimental data. This framework helps in significant reduction of the time-load data without compromising features that are essenti... (more)
Created Date 2010
Contributor Varadarajan, Gayathri (Author) / Liu, Huan (Advisor) / Ye, Jieping (Committee member) / Davalcu, Hasan (Committee member) / Arizona State University (Publisher)
Subject Computer Science / Database / Data management system / Prognostics
Type Masters Thesis
Extent 48 pages
Language English
Reuse Permissions All Rights Reserved
Note M.S. Computer Science 2010
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis