STOCHASTIC WEAR PROCESSES

Abstract

A new class of non-decreasing stochastic processes is characterized. These processes satisfy a generalization of the notion of an increasing failure rate. From physical considerations, these processes seem suitable for describing the process of cumulative wear or damage. The main interest with the model is an investigation of the first time until the process exceeds a random barrier. For this class of processes, it is shown that the first passage time random variable across a random barrier has an increasing failure rate, regardless of the distribution of the barrier. In addition, by the use of certain intuitive, non-parametric assumptions, tight bounds on the moments of this first passage time random variable are obtained.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1965
Accession Number
AD0619875

Entities

People

  • Richard C. Morey

Organizations

  • University of California, Berkeley

Tags

DTIC Thesaurus Topics

  • Abrasives
  • Convolution
  • Frequency
  • Intervals
  • Mathematical Models
  • Military Research
  • Models
  • New York
  • Observation
  • Operations Research
  • Probability
  • Random Variables
  • Stationary
  • Stochastic Processes
  • Theorems
  • Tracks
  • United States

Fields of Study

  • Engineering

Readers

  • Graph Algorithms and Convex Optimization.
  • Regression Analysis.
  • Systems Analysis and Design