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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
* F# A! c8 V/ ? p8 M请教一下:
2 l) Z) Y- d# p& l$ m" v, k( v: w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,) x- x' I; E0 c# |
& Z- s3 I8 T6 ^$ E8 m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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