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Sensor Data Qualification Technique Applied to Gas Turbine Engines
| AUTHOR | Nasa, National Aeronautics and Space Adm |
| PUBLISHER | Independently Published (01/14/2019) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
This 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. Csank, Jeffrey T. and Simon, Donald L. Glenn Research Center WBS 284848.02.04.03.02.01.03
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Product Format
Product Details
ISBN-13:
9781793967510
ISBN-10:
1793967512
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
More Product Details
Page Count:
26
Carton Quantity:
157
Product Dimensions:
8.50 x 0.05 x 11.00 inches
Weight:
0.19 pound(s)
Country of Origin:
US
Subject Information
BISAC Categories
Science | Space Science - General
Descriptions, Reviews, Etc.
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This 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. Csank, Jeffrey T. and Simon, Donald L. Glenn Research Center WBS 284848.02.04.03.02.01.03
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