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Sensor Data Qualification Technique Applied to Gas Turbine EnginesThis paper applies a previously developed sensor data qualification technique to a commercial aircraft engine simulation known as the Commercial Modular Aero-Propulsion System Simulation 40,000 (C-MAPSS40k). The sensor data qualification technique is designed to detect, isolate, and accommodate faulty sensor measurements. It features sensor networks, which group various sensors together and relies on an empirically derived analytical model to relate the sensor measurements. Relationships between all member sensors of the network are analyzed to detect and isolate any faulty sensor within the network.
Document ID
20140011476
Acquisition Source
Glenn Research Center
Document Type
Technical Memorandum (TM)
Authors
Csank, Jeffrey T.
(NASA Glenn Research Center Cleveland, OH United States)
Simon, Donald L.
(NASA Glenn Research Center Cleveland, OH United States)
Date Acquired
September 9, 2014
Publication Date
December 1, 2013
Subject Category
Electronics And Electrical Engineering
Report/Patent Number
NASA/TM-2013-216609
E-18808
GRC-E-DAA-TN11762
Funding Number(s)
WBS: WBS 284848.02.04.03.02.01.03
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Keywords
control
system health monitoring
fault detection
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