NEURAL NETWORK SYSTEM FOR ESTIMATION OF HELICOPTER GROSS WEIGHT AND CENTER OF GRAVITY LOCATION
Patent №
US 5,987,397
Granted
1999-11-16
Filed 1998
Owner
NAVY, UNITED STATES OF AMERICA AS REPRESENTED BY THE SECRETARY OF THE, THE
Lab
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AI components
1
ml
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
09042045
The invention is directed to a helicopter health and usage monitoring system utilizing a neural network for estimating gross weight and center of gravity location from measured flight condition parameter inputs; and includes means for measuring a plurality of variable flight condition parameters during flight of the helicopter; memory means for successively receiving and storing parameter input signals as well as estimates of gross weight and center of gravity location; and processing means responsive to the signals received from the measurement means for generating the gross weight and center of gravity location estimates.
AI classification
Ownership
NAVY, UNITED STATES OF AMERICA AS REPRESENTED BY THE SECRETARY OF THE, THE
assignment · 90570735
Assignors
MCCOOL, KELLY, HAAS, DAVID
On an employer assignment, the assignors are typically the inventors.