Age Dependent Minimal Repair.

Abstract

The failure process studied in this paper models the following maintained system setting. A piece of equipment is put in operation at time t=0. Each time it fails, a maintenance action is taken which, with probability p(t), is a complete repair or, with probability q(t)=1-p(t), is a minimal repair, where t is the age at failure of the equipment under maintenance. Since availability results are not pursued in this paper, only operating time will be recorded. This is equivalent to assuming that maintenance is executed in negligible time. It is also assumed that complete repairs restore failed items to their good as new condition in such a way that the times between successive complete repairs are independent and identically distributed. The formal development of the model is given in an appendix where the basic facts are established. In section 2, we show that some aging properties of the equipment's life distribution are inherited by the distribution of the time between successive complete repairs under suitable monotonicity of the function p. A counterexample is also given to the conjecture of Brown and Proschan (1980) that the NBUE aging property is also inherited when the function p is constant. In Section 3, some inequalities and further properties of the model are developed which, as in Section 2, extend results obtained by Brown and Proschan.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1982
Accession Number
ADA116846

Entities

People

  • Henry W. Block
  • Thomas H. Savits
  • Wagner S. Borges

Organizations

  • University of Pittsburgh

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Data Science
  • Distribution Functions
  • Inequalities
  • Information Science
  • Maintenance
  • Mathematics
  • Multivariate Analysis
  • Probability
  • Random Variables
  • Sequences
  • Standards
  • Statistical Analysis
  • Statistics
  • Survival

Fields of Study

  • Engineering

Readers

  • Mathematical Modeling and Probability Theory.
  • Statistical inference.