Modeling Failures of Intermittently Used Machines.

Abstract

This research memorandum presents methodology for analyzing failures of machines that are repeatedly turned on and off. Because a machine can fail both when it is on and off, different parametric models for failure are used for each of these periods. An important issue addressed for such machines is how the intermittent use itself affects failure. Because the models can predict the chance of failure under different usage patterns, less harmful usage patterns can be recommended. As an example, the models are applied to a radar system, and both the immediate and cumulative effects of on-off cycling are demonstrated. Keywords: Regression analysis, Statistical analysis, Statistical models, Time intervals, Weibull model, Parametric analysis.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1987
Accession Number
ADA190298

Entities

People

  • Dean A. Follmann

Organizations

  • Center for Naval Analyses

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Availability
  • Classification
  • Data Science
  • Equations
  • Information Science
  • Maintenance
  • Naval Operations
  • Navy
  • Preventive Maintenance
  • Probability
  • Radar
  • Regression Analysis
  • Repair
  • Security
  • Statistical Analysis
  • Time Intervals
  • Virginia

Fields of Study

  • Engineering

Readers

  • Mathematical Modeling and Probability Theory.
  • Regression Analysis.
  • Structural Health Monitoring of Composite Structures.