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Development of an Information Fusion System for Engine Diagnostics and Health ManagementAircraft gas-turbine engine data are available from a variety of sources including on-board sensor measurements, maintenance histories, and component models. An ultimate goal of Propulsion Health Management (PHM) is to maximize the amount of meaningful information that can be extracted from disparate data sources to obtain comprehensive diagnostic and prognostic knowledge regarding the health of the engine. Data Fusion is the integration of data or information from multiple sources, to achieve improved accuracy and more specific inferences than can be obtained from the use of a single sensor alone. The basic tenet underlying the data/information fusion concept is to leverage all available information to enhance diagnostic visibility, increase diagnostic reliability and reduce the number of diagnostic false alarms. This paper describes a basic PHM Data Fusion architecture being developed in alignment with the NASA C17 Propulsion Health Management (PHM) Flight Test program. The challenge of how to maximize the meaningful information extracted from disparate data sources to obtain enhanced diagnostic and prognostic information regarding the health and condition of the engine is the primary goal of this endeavor. To address this challenge, NASA Glenn Research Center (GRC), NASA Dryden Flight Research Center (DFRC) and Pratt & Whitney (P&W) have formed a team with several small innovative technology companies to plan and conduct a research project in the area of data fusion as applied to PHM. Methodologies being developed and evaluated have been drawn from a wide range of areas including artificial intelligence, pattern recognition, statistical estimation, and fuzzy logic. This paper will provide a broad overview of this work, discuss some of the methodologies employed and give some illustrative examples.
Document ID
20040040086
Document Type
Technical Memorandum (TM)
Authors
Volponi, Allan J. (Pratt and Whitney Aircraft Group East Hartford, CT, United States)
Brotherton, Tom (Intelligent Automation Corp. Poway, CA, United States)
Luppold, Robert (Luppold and Associates West Newton, PA, United States)
Simon, Donald L. (Army Research Lab. Hampton, VA, United States)
Date Acquired
August 21, 2013
Publication Date
February 1, 2004
Subject Category
Aircraft Propulsion and Power
Report/Patent Number
E-14364
ARL-TR-3127
NASA/TM-2004-212924
Meeting Information
39th Combustion/27th Airbreathing Propulsion/21st Propulsion Systems Hazards/3rd Modeling and Simulation Joint Subcommittee Meeting(Colorado Springs, CO)
Funding Number(s)
WBS: WBS 22-704-30-01
CONTRACT_GRANT: NAS3-01138
PROJECT: DA Proj. 1L1-61102-AF-20
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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