关于威布尔分布

Amethysp

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

请教一下：
% k) v4 x2 H0 w# c( }; M: Y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,

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？