"Mean time to failure" is just what it says: the "Time to Failure" is the length of time from putting something into service (a new automobile, a tooth implant, quitting smoking) until that something fails (the car breaks down, the implant falls out, you light up again). Try this a bunch of times, putting identical things into service all under the same conditions and recording the times to failure, and then take the "mean" of those times (you may know "mean" as "average": add the times to failure up and divide by how many were tested). That's the "mean time to failure". The trick is to make the things and the their service conditions "identical", and to test enough of the things to get good statistics. But that's another question.
Mean Time to Repair and Mean Time Between Failure:They are Maintenance and Reliability predictors.
Time and Space
If repeated samples are taken from a population, then they will not have the same mean each time. The mean itself will have some distribution. This will have the same mean as the population mean and the standard deviation of this statistic is the standard deviation of the mean.
sampling time is the number of samples per second taken from a continuous signal to make it discrete and holding time is the time between two samples..
The time between your tests.
mtbf = mean time between failure
Mean time before failure
to reduce transportation time between Europe and Asia
"Mean time to failure" is just what it says: the "Time to Failure" is the length of time from putting something into service (a new automobile, a tooth implant, quitting smoking) until that something fails (the car breaks down, the implant falls out, you light up again). Try this a bunch of times, putting identical things into service all under the same conditions and recording the times to failure, and then take the "mean" of those times (you may know "mean" as "average": add the times to failure up and divide by how many were tested). That's the "mean time to failure". The trick is to make the things and the their service conditions "identical", and to test enough of the things to get good statistics. But that's another question.
Yes. It stands for mean time between failure so the greater the MTBF, greater will be the longevity or lifetime of the equipment between two successive failures
It means that it hasn't received the expected response in the prescribed time. It doesn't describe the reason for failure, just the failure.
When determining how reliable something is, a benchmark called "Mean Time Between Failures" is often used. It's usually represented as "MTBF". That means, the average time that a component will operate continuously.
Due to power failure our buisness goes down an every time. Out production of things so reduce due to power failure. Many different factories are now close and thousand or Millions of employs are going now unemployed due this power failure. Power Failure is very main problem in our country. Government so selffish. He is not working on this problem. Many country provide the different resources to reduce this situation and also our scientist provide him some Natural resources to reduce this dangrous problem. But our government does want to reduce this probelm because if he use the different contries helps and his natural resources to reduce this probelm his commession is close down which he doesn't want.
Reduce the protection time provided by the gloves
Apply lean manufacturing methods to reduce stock, waste and improve efficiency, implement quality improvement program to reduce failure/reject levels (Six Sigma), use Rapid Prototyping to reduce development time, undertake an energy efficiency audit to reduce associated overheads
Either the transfer case is still in part time or there is a failure in the switch on the transfer case.Either the transfer case is still in part time or there is a failure in the switch on the transfer case.