Neural Network System for Estimation of Helicopter Gross Weight and Center of Gravity Location

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.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 13, 1998
Accession Number
ADD019441

Entities

People

  • David Haas
  • Kelly Mccool

Organizations

  • United States Department of the Navy

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Analyzers
  • Center Of Gravity
  • Computer Languages
  • Computer Programs
  • Flight
  • Ground Based
  • Helicopters
  • Indicators
  • Inventions
  • Measurement
  • Memory Devices
  • Monitoring
  • Neural Networks
  • Signal Processing
  • Training

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Electrical Engineering
  • Space Exploration and Orbital Mechanics.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks