Title :
How to model reliability-growth when times of design modifications are known
Author_Institution :
Northern Illinois Univ., DeKalb, IL, USA
fDate :
3/1/1996 12:00:00 AM
Abstract :
Engineers often make changes during system development in order to correct design weaknesses. If done well this results in reliability growth as development continues. Since no reliability-growth model is adequate for all time (any growth model is valid only for some finite amount of time) it is prudent to use a different reliability model between each two design modifications. This paper assumes that the reliability growth model between each two design modifications is either a Poisson process or power-law process. Maximum likelihood estimates of the parameters are obtained for two cases: (1) no constraints on parameters; and (2) some constraints on parameters
Keywords :
design engineering; maximum likelihood estimation; parameter estimation; reliability; reliability theory; stochastic processes; Poisson process; design modifications; design weaknesses; maximum likelihood estimates; parameter constraints; parameter estimates; power-law process; reliability growth modelling; Design engineering; Design optimization; Maximum likelihood estimation; Monte Carlo methods; Parameter estimation; Power engineering and energy; Power system modeling; Power system reliability; Reliability engineering; System testing;
Journal_Title :
Reliability, IEEE Transactions on
