1) mean time between failures
2) mean time between failures(MTBF)
The relationship of the normal operation rate with BLER,MTBF and MTTR is complex.
The number of initial defects number No, MTBF, defect exposure rate I and success rate of running q are basic parameters of software reliability of which MTBF is the most important one.
The system reliability is taken as the output of the neural network,the reliability of every sub-system and the Mean Time between Failures(MTBF) are taken as the input of the neural network,and then the neural network is trained.
4) mean time between failure
5) mean time between failures
According to the reliability prediction method in CJB/Z299B-98 standard,it predict the reliability of standby electric power in coal mine supervision system and get the mean time between failures that the electric tress coefficient is less than 0.
6) mean time to failure
According to the reliability theory about the mean time to failure and the system reliability evaluation,the reliability of the high capacity storage battery arrays with different connection schemes was evaluated.