RADC SCAT: Automated Sneak Circuit Analysis Tool

Abstract

Standard Sneak Analysis procedures are costly from a time, money and personnel perspective. The processing of design data available only during the latter portions of the development cycle are highly labor intensive and difficult to institute a design change. Automated techniques for sneak analysis have been developed by several contractors for the workstation environment, but are either not completed or are proprietary. In fact, some of these techniques are only a subset of the sneak analysis procedure, namely design concerns. The Sneak Circuit Analysis Tool (SCAT) overcomes many of these deficiencies by providing a personal computer based system for real time identification (during the actual design phase) of sneak paths and design concerns. The tool utilizes an expert system shell to assist the analyst so that prior experience with sneak analysis is not necessary for performance. Both sneak circuits and design concerns are targeted by this tool with both digital and analog circuits being examined. SCAT focuses the analysis at the assembly level rather than the entire system so that most sneak problems can be identified and corrected by the responsible design engineer in a timely manner.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1990
Accession Number
ADA578305

Entities

People

  • Edward L. Depalma

Organizations

  • Rome Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Circuit Analysis
  • Circuit Boards
  • Circuit Interconnections
  • Circuits
  • Classification
  • Complex Systems
  • Computers
  • Contractors
  • Control Systems
  • Department Of Defense
  • Electronics
  • Expert Systems
  • Indicators
  • Information Operations
  • Networks
  • Personal Computers
  • Space Environments

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Software Engineering.
  • Systems Analysis and Design