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

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

Machine learning1.00
AI hardware0.42
Knowledge representation0.38
Natural language0.01
Planning0.01
Speech0.01
Evolutionary computation0.00
Vision0.00

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.

From the same owner

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