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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
+ Z( A( g6 G5 Q& M1 Y. f请教一下：
/ Y! W; k3 x8 p. z+ u1 t# f1 p- m2 ]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,+ s8 N7 |) h/ H9 }+ a* p$ s+ H7 Y G
3 R6 n9 x5 t8 s/ M# p. @& ^1 g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
