Title :
Estimating the Inspection Survivability
Author :
Schultz, Carl R.
Author_Institution :
R.O. Anderson Schools of Management; University of New Mexico; Albuquerque, NM 87131 USA.
fDate :
6/1/1983 12:00:00 AM
Abstract :
Expressions are given for the mean and variance of a simple unbiased estimator of the probability that a renewable system will be able to pass a given inspection (inspection survivability). Inspections are periodic and 100% accurate, but can damage the system. Numerical examples illustrate how sample size, inspection interval length, and failure rate affect the estimator´s mean and variance.
Keywords :
Art; Failure analysis; Inspection; Length measurement; Power system restoration; Production planning; Production systems; Reliability theory; Size measurement; State estimation; Hazardous inspection; Inspection survivability; Periodic inspection; Renewable system;
Journal_Title :
Reliability, IEEE Transactions on
DOI :
10.1109/TR.1983.5221529
