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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 ! L9 x. d5 w& D; b* W
请教一下:
* c' u. c, R+ c, c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,; [0 u' j9 B+ p; _; k7 V8 _0 g
. |2 b/ m y2 s7 B: y& Z8 k; Q6 Y
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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