AIRFRAME DIGITAL TWIN (ADT) Delivery Order 0001: Scalable, Accurate, Flexible, Efficient, Robust, Prognostic and Probabilistic Individual Aircraft Tracking (SAFER-P2IAT), Volume 1

Abstract

Improving the accuracy of structural diagnosis and prognosis to make better maintenance decisions is accomplished through more realistic structural analysis of fatigue crack growth, including sources of uncertainty into predictions, and fusing usage and inspection data to update and reduce uncertainty. A set of methods for uncertainty quantification and updating form the basis of the framework. Modularity supports transition to other platforms and reliability problems. Uncertainty in inputs and outputs is described by parametric or non-parametric probability distributions. Criteria for performing inspections can be established based on probabilities of events.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2016
Accession Number
AD1035387

Entities

People

  • Dale Ball
  • Genghis Khan
  • Isaac Asher
  • Kevin Ryan
  • Liping Wang

Organizations

  • General Electric

Tags

Communities of Interest

  • Air Platforms
  • Cyber

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Aircrafts
  • Airframes
  • Bayesian Networks
  • Computational Science
  • Databases
  • Engineering
  • Information Science
  • Kalman Filters
  • Mathematical Filters
  • Monte Carlo Method
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Random Variables
  • Reliability

Readers

  • Aerospace Engineering
  • Neural Network Machine Learning.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.