|
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
% v2 w& c( J) v; G' R+ U. }请教一下:
+ R( z. A+ M: h1 U8 Q) u! o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,: d8 }" G2 s7 ?
# B0 D& f# ~5 Q) y/ @6 }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? |
|