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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：
$ P* R& k( p+ y z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,
9 m5 p5 l, j( c$ t* y, a4 v$ b
% {' G: K7 E5 z/ |4 w) 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？ |
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发表于 2016-5-18 09:32:58
