Stochastic Models for Degradation-Based Reliability

Abstract

This paper presents a degradation-based procedure for estimating the full and residual lifetime distribution of a single-unit system subject to Markovian deterioration. The hybrid approach unites real degradation measures with analytical, stochastic failure models to numerically compute the distributions and their moments. Two distinct models are shown to perform well when compared with simulated data. Moreover, results obtained from the second model are compared with empirically generated lifetimes of 2024- T3 aluminum alloy specimens. The numerical experiments indicate that the proposed techniques are useful for remaining lifetime prognosis in both cases.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2005
Accession Number
ADA596322

Entities

People

  • Jeffrey P. Kharoufeh
  • Steven M. Cox

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • C4I

DTIC Thesaurus Topics

  • Air Force
  • Computational Science
  • Degradation
  • Differential Equations
  • Engineering
  • Equations
  • Life Tests
  • Markov Processes
  • New York
  • Operations Research
  • Partial Differential Equations
  • Probabilistic Models
  • Probability
  • Random Variables
  • Reliability
  • Stochastic Processes
  • Time Intervals

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Mathematical Modeling and Probability Theory.
  • Structural Health Monitoring of Composite Structures.