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Reliability Issues for DoD Systems: Report of a Workshop
nonparametric methods, 5 , 6 , 15 , 36 , 41-47 , 71
stochastic processes, 43 , 44 , 56-58
Experimental design, 1 , 9 , 35-36 , 38
F
Failure modeling, 8-9
see also Fatigue modeling
“bad actors,”4 , 8
components, 4 , 8 , 16 , 17 , 18 , 20 , 21 , 22 , 25
Integrated Reliability Growth Strategy, 30-31
PREDICT, 28-29 , 65
historical perspectives, 11-12
physics of failure, 4 , 8-9 , 22 , 58 , 70 , 71-73
reliability growth modeling, 11-34 (passim)
reliability modeling, other, 4 , 8 , 40 , 42-46 (passim), 57-60
Failure Reporting, Analysis, and Corrective Action System, 31
Fault trees, 29 , 31 , 62
Fatigue modeling, 2 , 4 , 5 , 8
reliability growth models, 25
reliability modeling, other, 2 , 5 , 8 , 35 , 36 , 56-60 , 71 , 72
Feedback loops, 4 , 25
Ferguson, Jack, 55 , 75 , 86
Field performance data, 2 , 4 , 5 , 13 , 20-23 , 24 , 25 , 26 , 33 , 37
data archive, 20
data bases, 21 , 23
cost-effectiveness, 20 , 21 , 22 , 26
training exercises, data from, 37 , 38-39
Fries, Arthur, 32-33 , 84
G
Gaussian distribution, 56-57
Gaver, Donald, 12-13 , 16-18 , 23 , 24 , 84
General Dynamics Advanced Technology, 30
Goodness of fit, 14 , 42
H
Handbooks, 3 , 6 , 9 , 10 , 71
RAM Primer, 3 , 5-6 , 8 , 9 , 75-77
Hollis, Walter, 32 , 84
Huller, Jerry, 50
I
Integrated Reliability Growth Strategy, 8 , 30-32 , 72
Internet, RAM Primer, 5
K
Kaplan-Meier estimates, 15
L
Learning curves, 14
Life-cycle factors, 6 , 25 , 32 , 56
costs, 2 , 4 , 26 , 63-69
warranty costs, 20 , 21 , 22 , 23 , 25 , 61 , 62 , 63-64 , 65 , 67-68
Linear models, 11 , 14 , 55 , 59 , 74
Bayesian, 40 , 41
Los Alamos National Laboratory, 28 , 29
M
Maintainability, 4 , 26
Maintenance, 12 , 25
alternative models, 6-7
Management factors, 4 , 9 , 75 , 78
Markov chain techniques, 48 , 53-54
Material fatigue, see Failure modeling;
Fatigue modeling
Meeker, William, 13 , 19-23 , 24 , 72 , 85