|
|
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
, z" I8 y$ P) T! W" q& w请教一下:( L- V0 @% `0 L
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*a0,8 S% U$ |7 c, \6 \# o# t7 \' }
* z) B1 @3 p' j( k/ `
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? |
|