Partitioning Microelectronic Equipment through the Use of a Symptom Matrix.

Abstract

The purpose of this research was to establish the requirements for human-factors data to be used in the design of microelectronics. An interdisciplinary research team projected the design considerations that will be applicable during the period 1970-1980, and on the basis of these projections, postulated that the major human-factors-data requirements will be in the area of malfunction diagnosis. A feasibility study was initiated to determine feasibility of partitioning an equipment in such a way that the malfunction symptoms can be related directly to a single or small group of replaceable assemblies. A symptom-matrix was prepared for a sample equipment (the Indicator-Coupler of the AN/ARN-85 LORAN Receiver) and then the equipment was repartitioned on the basis of the information contained in the matrix. A second matrix was prepared for the new configuration and then compared with the first matrix. It was found that the repartitioning had increased the amount of information provided by the symptom that could be used to identify the cause of the malfunction by 52 percent. It was concluded that this would reduce the number of errors that a maintenance technician would be likely to make in troubleshooting the reconfigured equipment. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1967
Accession Number
ADA054923

Entities

People

  • Grafton H. Griswold
  • Harald R. Leuba

Organizations

  • ARINC

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Biomedical
  • Ground and Sea Platforms
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Assembly
  • Biomedical Research
  • Birds
  • Command And Control
  • Electronic Equipment
  • Engineers
  • Failure Mode And Effect Analysis
  • Integrated Circuits
  • Large Scale Integration
  • Loran
  • Maintenance
  • Maintenance Personnel
  • Operating Systems
  • Plastic Explosives
  • Reliability
  • Test Equipment

Readers

  • Aerospace Test and Evaluation
  • Parallel and Distributed Computing.
  • Software Engineering

Technology Areas

  • Microelectronics