bleed: Bleed system reliability data
In Auburngrads/SMRD: Statistical Methods For Reliability Data
Description
Abernethy, Breneman, Medlin, and Reinman give failure and
running times for 2256 bleed systems operating at several
geographically separated bases. They observed a change in
the probability plot before and after 600 of operation.
Further examination showed that 9 of the 19 failures occurred
at Base 'D'. Separate analyses of the Base D data and the data
from the other bases indicated different life distributions.
The large slope for Base D indicated strong wearout behavior.
The relatively small slope for the other bases suggested infant
mortality or accidental failures. After investigation it was
determined that the early-failure problem at base D was caused by
salt air (Base D was near the ocean). A change in maintenance
procedures there solved the dominant bleed system reliability problem.
Format
A data.frame with 60 rows and 4 variables:
[, 1] hours Accumulated time at event Numeric
[, 2] event Event observed at hours (failure/right-censored/left-censored/interval-censored) Categoric
[, 3] count Number of events observed at hours Numeric
[, 4] base Base where observation was made Categoric
Source
Abernethy, R. B., Breneman, J. E., Medlin, C. H., and Reinman, G. L., (1983)
Weibull Analysis Handbook, Air Force Wright Aeronautical Laboratories Technical Report AFWAL-TR-83-2079
Auburngrads/SMRD documentation built on Sept. 14, 2020, 2:21 a.m.
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Description
Abernethy, Breneman, Medlin, and Reinman give failure and running times for 2256 bleed systems operating at several geographically separated bases. They observed a change in the probability plot before and after 600 of operation. Further examination showed that 9 of the 19 failures occurred at Base 'D'. Separate analyses of the Base D data and the data from the other bases indicated different life distributions. The large slope for Base D indicated strong wearout behavior. The relatively small slope for the other bases suggested infant mortality or accidental failures. After investigation it was determined that the early-failure problem at base D was caused by salt air (Base D was near the ocean). A change in maintenance procedures there solved the dominant bleed system reliability problem.
Format
A data.frame with 60 rows and 4 variables:
| [, 1] | hours | Accumulated time at event | Numeric |
| [, 2] | event | Event observed at hours (failure/right-censored/left-censored/interval-censored) | Categoric |
| [, 3] | count | Number of events observed at hours | Numeric |
| [, 4] | base | Base where observation was made | Categoric |
Source
Abernethy, R. B., Breneman, J. E., Medlin, C. H., and Reinman, G. L., (1983) Weibull Analysis Handbook, Air Force Wright Aeronautical Laboratories Technical Report AFWAL-TR-83-2079
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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