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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 5 n K( Y8 W5 V4 u, ]5 c
请教一下:
! n: W3 o0 S* ~4 L8 B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,
# i# C! ?: i: v) E- i5 i0 D, ]1 ~8 B, m5 S, N+ y! f6 U( Y0 v% S
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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