Safety Measurement Concepts for Naval Weapon Systems.

Abstract

This report describes methods of safety measurement for Naval Weapon Systems. The method of measurement is based on the quantification of control-variable parameters which are casually related to undesired end-effect consequences or 'accidents'. The measurement methods include probabilistic and weighted factors approaches. The rationale for use, the limitations of the probabilistic approach and the utility of weighted-factors approaches are given. The two basic safety control variables, namely, the human and material, are included in the quantification methods. A phase-state model was developed to describe operational 'phases', and hazard 'states'. These 'states' lend themselves to a safety-index calculation on a per-phase basis, a combination of phases and a total operational phase basis. The input data to the model can be either weighted factor or probability numeries or both. Standards are necessary to develop input data because sufficient empirical data does not exist, and also to achieve the characteristics of repeatibility of results and minimization of evaluator bias or ideology. Computer techniques for calculating the safety index, updating input data, providing sensitivity analysis, and updating safety indices due to any change, were concluded to be necessary because of the complexity level of the problem and the nature of weapons to be evaluated. This study indicates that with refinements to the input data techniques, as applied to the phase-state model, and with advanced computation techniques, the safety measurement technique can be perfected and implemented in the near future. (Author)

Document Details

Document Type
Technical Report
Publication Date
Feb 29, 1968
Accession Number
AD0506771

Entities

People

  • S. Canale

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Computations
  • Computers
  • Materials
  • Measurement
  • Probability
  • Sensitivity
  • Weapon Systems
  • Weapons

Readers

  • Aviation Safety Risk Assessment.
  • Computational Modeling and Simulation
  • Systems Analysis and Design