Neural network system for estimation of helicopter gross weight

Data processing: measuring – calibrating – or testing – Measurement system – Weight

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702144, 364158, 73178H, 706 25, G01C 2110

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059873973

ABSTRACT:
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.

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McCool, Kelly M., David J. Haas and Carl G. Schaefer, Jr., "A Neural Netw Based Approach to Helicopter Low Airspeed and Sideslip Angle Estimation," Proceedings of American Institute of Aeronautics and Astronautics Flight Simulation Technologies Conference, Paper No. 96-3481 (Jul. 29-31, 1996) pp. 91-101.

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