Vehicle Corrosion Expert System (CES)

Abstract

Report developed under SBlR contract for topic A99-092. This report describes the design and development of a vehicle Corrosion Expert System (CES). CES has immediate utility in the automotive industry by vehicle manufactures that have the requirement for an accurate predictive tool which could eliminate or reduce the expensive Accelerated Corrosion Testing phase of the new vehicle development effort. The Vehicle Corrosion Expert System supports four modules representing different points of the vehicle's life cycle. 1) In Preliminary Design of new vehicles as a tool for performing design tradeoff studies and in giving general guidance to the new vehicle designer. 2) In Detailed Design for continual certification of the new design and in computer simulation of Accelerated Corrosion Testing of new vehicle designs. 3) In Vehicle Fleet Operations for forecasting the maintenance requirements of the existing fleet. And 4) In Logistic Management by top-level decision makers conducting "What-if" analysis to determine the projected life cycle cost, fleet readiness and cost of corrosion for the fleet under different operational scenarios. Each of these modes offers a different capability and level of detail required to allow the user to use the Expert System for his area of interest.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 19, 2000
Accession Number
ADA380629

Entities

People

  • C. T. Savell

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Automotive Industry
  • Bayesian Networks
  • Composite Materials
  • Computational Science
  • Computer Programming
  • Computers
  • Corrosion
  • Expert Systems
  • Graphical User Interface
  • Information Processing
  • Materials
  • Operating Systems
  • Probability
  • Stress Corrosion Cracking
  • User Interface

Readers

  • Software Engineering
  • Software Engineering.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.