Human errors of seven types of armored equipment, which occur during the course of field test, are statistically analyzed. The human error-to-armored equipment failure ratio is obtained. The causes of human errors are...Human errors of seven types of armored equipment, which occur during the course of field test, are statistically analyzed. The human error-to-armored equipment failure ratio is obtained. The causes of human errors are analyzed. The distribution law of human errors is acquired. The ratio of human errors and human reliability index are also calculated.展开更多
For the gradual maturity of Bayesian survival analysis theory,as well as the defects of the traditional methods for storage reliability evaluation,the Bayesian survival analysis method is proposed to build regression ...For the gradual maturity of Bayesian survival analysis theory,as well as the defects of the traditional methods for storage reliability evaluation,the Bayesian survival analysis method is proposed to build regression models for reliability in the random truncated test.These models can reflect the influences of different environments on the ammunition storage lifetime.As an example,the common exponential distribution is used here,and Markov chain Monte Carlo(MCMC)method based on Gibbs sampling dynamically simulates the Markov chain of the parameters' posterior distribution.Also,the parameters' Bayesian estimations are calculated in the random truncated condition.The simulation results show that the proposed method is effective and directly perceived.展开更多
文摘Human errors of seven types of armored equipment, which occur during the course of field test, are statistically analyzed. The human error-to-armored equipment failure ratio is obtained. The causes of human errors are analyzed. The distribution law of human errors is acquired. The ratio of human errors and human reliability index are also calculated.
基金Sponsored by National Nature Science Foundation of China(70771038).
文摘For the gradual maturity of Bayesian survival analysis theory,as well as the defects of the traditional methods for storage reliability evaluation,the Bayesian survival analysis method is proposed to build regression models for reliability in the random truncated test.These models can reflect the influences of different environments on the ammunition storage lifetime.As an example,the common exponential distribution is used here,and Markov chain Monte Carlo(MCMC)method based on Gibbs sampling dynamically simulates the Markov chain of the parameters' posterior distribution.Also,the parameters' Bayesian estimations are calculated in the random truncated condition.The simulation results show that the proposed method is effective and directly perceived.
