|
|
Use α > 1 to model the random life time of an installation with an increasing failure rate. After running machines for a long time, wear-out failures occur, so that the probability of a failure within a time interval increases as the system ages. The life times that accrue most of the time are determined by the maximum of the density function (for α > 1) and are roughly defined by the values
9 K; B: d. }8 v& ?. N1 u请教一下：1 e1 c9 y+ }: i; ^
如果故障中间隔 设置为α > 1 的Weibull 分布，设备的故障率会随着时间推移增加，比如最开始是a0，过段时间变成了1.4*a0,) j; y. d1 x1 n/ R
4 m! d! S3 T+ F$ P: J' V; l4 Y7 x0 Z
那么我要仿真在某个时间点想要这个故障间隔分布重新回到a0，应该如何操作？ |
|
发表于 2016-5-18 09:32:58
