Hello all,
I do not know if this is the correct place for this, so please excuse me if it's not.
Here is my problem. It concerns the reliability of a certain piece of machinery. The reliability formula is:
Rt=e^(-xt)
Where R is reliability
t is time
x is failure rate (it should be lambda, but I don't know how to produce a lambda on the keyboard)
e is the base of the natural logarithm (2.71828)
So R(time) = 2.71828^-(lambda x time)
A piece of equipment that produces widgets runs for 1000 hours. During that 1000 hours it breaks down 10 times.
This gives the equipment a MTBF (mean time between failure) of 100 hours.
The failure rate is the inverse of the MTBF or .01
If I want to calculate reliability for 20 hours I get:
R(20) = 2.71828^-(.01 x 20) so R(20) = .8187 or 81.87%
R(100) = 2.71828^-(.01 x 100) so R(100) = .3679 or 36.79%
This makes perfect sense in that the longer it runs, the less reliable it becomes.
However, and here is my problem, if I do the calculation for the original 1000 hours, I get:
R(1000) = 2.71828^-(.01 x 1000) so R(1000) = 4.54 or 454%
I'm screwing this decimal up somewhere but high school math was over 40 years ago. Can someone please explain what I'm doing wrong here?
Thanks for your time.
I do not know if this is the correct place for this, so please excuse me if it's not.
Here is my problem. It concerns the reliability of a certain piece of machinery. The reliability formula is:
Rt=e^(-xt)
Where R is reliability
t is time
x is failure rate (it should be lambda, but I don't know how to produce a lambda on the keyboard)
e is the base of the natural logarithm (2.71828)
So R(time) = 2.71828^-(lambda x time)
A piece of equipment that produces widgets runs for 1000 hours. During that 1000 hours it breaks down 10 times.
This gives the equipment a MTBF (mean time between failure) of 100 hours.
The failure rate is the inverse of the MTBF or .01
If I want to calculate reliability for 20 hours I get:
R(20) = 2.71828^-(.01 x 20) so R(20) = .8187 or 81.87%
R(100) = 2.71828^-(.01 x 100) so R(100) = .3679 or 36.79%
This makes perfect sense in that the longer it runs, the less reliable it becomes.
However, and here is my problem, if I do the calculation for the original 1000 hours, I get:
R(1000) = 2.71828^-(.01 x 1000) so R(1000) = 4.54 or 454%
I'm screwing this decimal up somewhere but high school math was over 40 years ago. Can someone please explain what I'm doing wrong here?
Thanks for your time.