Upper and lower bounds of stress-strength interference reliability with random strength-degradation

Author

Xue, Jianan ; Yang, Kai

Author_Institution

Dept. of Ind. & Manuf. Eng., Wayne State Univ., Detroit, MI, USA

Volume

46

Issue

1

fYear

1997

fDate

3/1/1997 12:00:00 AM

Firstpage

142

Lastpage

145

Abstract

A stress-strength interference reliability model with strength degradation is established under the assumptions: stress and strength are statistically independent; dynamic loading forces follow a Poisson-process and Gaussian distribution; and random strength-degradation is described by distribution parameter regression models. Simple formulas for estimating upper and lower bounds for strength-stress interference reliability are presented. The results can be applied to reliability estimation in wear out, fatigue, crack growth with dynamic loading forces, etc

Keywords

Gaussian distribution; mechanical strength; random processes; reliability theory; statistical analysis; stochastic processes; stress analysis; Gaussian distribution; Poisson-process; crack growth; distribution parameter regression models; dynamic loading forces; fatigue; lower bounds of; random strength-degradation; reliability estimation; strength degradation; stress-strength interference reliability; upper bounds; wear out; Aging; Corrosion; Degradation; Fatigue; Interference; Load modeling; Random processes; Reliability engineering; State estimation; Stress;

fLanguage

English

Journal_Title

Reliability, IEEE Transactions on

Publisher

ieee

ISSN

0018-9529

Type

jour

DOI

10.1109/24.589940

Filename

589940