Application of a neural sensor validation scheme to actual Boeing 737 flight data-Reference-Cited by-同舟云学术

Application of a neural sensor validation scheme to actual Boeing 737 flight data

Published:1999-08-09 Issue: Volume: Page:
ISSN:
Container-title:Guidance, Navigation, and Control Conference and Exhibit
language:
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Author:

Napolitano Marcello¹,An Younghwan¹,Seanor Brad¹,Pispitsos Stelios¹,Martinelli David¹

Affiliation:

1. West Virginia Univ., Morgantown

Publisher

American Institute of Aeronautics and Astronautics

Link

http://arc.aiaa.org/doi/pdf/10.2514/6.1999-4236

Reference17 articles.

1. 250 430.750 - 431.500 430.375 430.250 430.375 431.875 430.750 430.750 430.750

2. SFIT i 434.750 435.000 - 434.750 435.000 Sensorfailureoccurredat t = 430set `-`indicatesthatnosensorfailureisdeclared. SFDT= Sensorfailuredetectidntune SFIT= Sensorfailureidentificationtime Table3 Comparisonof EstimationErrorfor SensorFailureAccommodationpurposesbetweentheQEEi-m and

3. SF QEEI-MNN only QEEI-MNN.+ QEEz-MNN Types 0 an 0 att SF#l Mean -0.013389 -0.034811

4. Variance 0.001186 0.000867 -0.022118 -0.035364 0.001is4 0.000866 SF#2 Mean -0.008511 -0.034688

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