|
|
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
请教一下：
; l* C! r! o. F9 X( a4 V& {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*a0,2 ?" I% Y Q- M: q) K1 B4 I
( M# x8 Y9 C- T! s0 t) 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？ |
|
发表于 2016-5-18 09:32:58
