Opportunities to Improve Diagnostics Performance Using Computer-Based Product Definition Models and Simulations.

Abstract

This paper reports on analysis of opportunities for applying defense product definition models and simulations (M&S) that are based on computer-aided design, manufacturing, engineering, and test (CAx, representing CAD, CAM, CAE and CAT) capabilities to enhance diagnostics performance and lifecycle support affordability of defense systems. Opportunities for applying CAx-based product M&S were reviewed from four diagnostic domain perspectives: Development and use of diagnostic capabilities during design, application of integrated rated diagnostics in maintenance processes for fault detection and isolation, engineering analyses of critical problems and faults, and development and use of fault prediction and prognostic capabilities. Viable concepts for applying CAx-based M&S capabilities to improve integrated diagnostic element capabilities for each of these diagnostic domains were identified. During the analysis, the study team noted the application of CAx-based models and simulations to integrated diagnostics is an essential component of effective integrated rated product and process development (IPPD) strategies and DoD's simulation based acquisition SBA) initiative.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1998
Accession Number
ADA362942

Entities

People

  • Herbert R. Brown
  • Richard P. Morton
  • Robert M. Rolfe
  • William R. Simpson

Organizations

  • Institute for Defense Analyses

Tags

Communities of Interest

  • Biomedical
  • Engineered Resilient Systems
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Complex Systems
  • Computer Graphics
  • Computer-Aided Design
  • Computers
  • Control Systems
  • Defense Systems
  • Engineering
  • Engineers
  • Maintenance
  • Manufacturing
  • Simulators
  • Systems Engineering
  • Test And Evaluation
  • Test Equipment
  • Test Methods
  • Three Dimensional

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Software Engineering
  • Software Engineering.