Title :
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
fDate :
3/1/1997 12:00:00 AM
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;
Journal_Title :
Reliability, IEEE Transactions on
