|
|
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
4 f$ G a e6 Z8 S& b& {" s: I请教一下:6 c9 K& s6 b E; h+ C! Q
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,; B" L$ [% W' A; c9 R8 U7 X
) ?8 j5 A# A* w' x0 C4 d. r6 V
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? |
|