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Reliability Issues for DoD Systems: Report of a Workshop
Index
A
Army Materiel System Analysis Activity (AMSAA), 11-12, 24
Automatic Efficient Test Generator, 50
Availability, 26, 62
B
“Bad actors,”4, 8, 72
Bayesian statistics and analysis, 15, 18, 29, 34, 35-36, 39-41, 46-47, 62-63, 69, 75, 76
Beckett, Allen, 68, 86
Birnbaum-Saunders model, 36, 56-57
Blischke, Wallace, 62-63, 68-69, 86
Booker, Jane, 13, 27-29, 84
C
Camm, Frank, 65-69, 72, 86
Composite materials, 57
Crouch, James, 24, 85
Crow, Larry, 11-12, 13, 30-33, 47, 84
D
Dalal, Siddhartha, 36, 48-53, 55, 86
Data archive, 19-21, 23, 27
Databases
archival data, 19-21, 23, 27
field performance data, 21, 23
Developmental testing, 4-5, 22, 23, 26, 30-33, 37, 43-44, 61
archival data, 20
operational information combined with, 2, 3-5(passim), 7-8, 26, 33-34, 37-41, 45-47, 74-75
Differential equations, 15
Duane model, 11-12
E
Easterling, Robert, 68, 74, 86
Ellner, Paul, 23-24, 84
Estimation techniques, general, 3, 10, 13, 37-40, 46, 47, 71, 73, 78
Bayesian statistics and analysis, 15, 18, 29, 34, 35-36, 39-41, 46-47, 62-63, 69, 75, 76
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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
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Modeling and simulation, general, 1, 2, 3, 4, 9
see also Reliability;
Reliability growth modeling
goodness of fit, 14, 42
reliability growth, 2, 3, 5
Multivariate distributions, 73, 74
Myers, Fred, 45-46, 85
N
National Missile Defense System, 32
Nicholas, Theodore, 59, 85
Nonparametric methods, 5, 6, 15, 36, 41-47, 71
O
Olwell, David, 75
Operational testing and evaluation, 4-5, 6, 27, 77-78
archival data, 20
developmental test information combined with, 2, 3-5 (passim), 7-8, 26, 33-34, 37-41, 45-47, 74-75
P
Padgett, Joe, 36, 57-60, 85
Pareto charts, 24-25
Patriot Missile System, 32
Performance and Reliability Evaluation with Diverse Information Combination and Tracking (PREDICT), 28-29, 32-33, 65, 72
Poore, Jesse, 36, 53-55, 86
Physics-of-failure modeling, 4, 8-9, 22, 58, 70, 71-73, 75-76
Integrated Reliability Growth Strategy, 8, 30-32, 72
Poisson processes, 18
Pollock, Steve, 74-75, 86
Power law process model, 14-15
R
RAM Primer, 3, 5-6, 75-77
physics-of-failure modeling, 8, 75-76
Regression analysis, 11, 19, 55
Reliability, v, 2-4, 6-7, 8, 35-69
estimation and testing, 3
failure modeling, 4, 8, 40, 42-46 (passim), 57-60
field performance data, 2
operational testing and evaluation, 1, 2, 7-8, 35-36, 37-41, 45-47, 53, 69
software development and testing, 35, 36, 47-55, 73-74
Reliability growth modeling, 2, 3, 5, 7, 9, 10-34, 76-77
cost factors, 16-17, 20-22 (passim), 26, 33
expert judgment, 10, 14, 18, 26, 27, 34
historical perspectives, 10-12, 13, 25-26
operational testing and evaluation, 1, 2, 7-8, 14, 17, 22, 23, 24, 25-26, 27, 33, 37
software development and testing, 5, 18-19, 50, 55, 71, 73
Risk analysis, 45, 61
Bayesian, 15, 18, 29, 34, 35-36, 39-41, 46-47, 62-63, 69, 75, 76
S
Samaniego, Francisco, viii, 36, 38, 40, 41-47, 75, 83, 84-85, 86
Saunders, Sam, 36, 56-57, 59-60, 85
Scholz, Fritz, 13, 18-19, 24, 85
Seglie, Ernest, 46-47, 77-78, 85, 86
Sen, Ananda, 12, 13-16, 23, 24, 84
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Sensor technology, field performance data via, 23
Software development and testing, 5, 71
cost factors, 50, 55, 73
Statistics, Testing and Defense Acquisition: New Approaches and Methodical Improvements,v
Steffey, Duane, 36, 38-41, 45-47, 84
Step-intensity model, 15
Stochastic processes, 43, 44, 56-58
Streilein, Jim, 47
Surveillance testing, 68-69
Survival analysis, 15
Systems development, 12, 25-26, 27-28, 33-34, 37, 77
T
Test, analyze, and fix episodes, 13, 14-15
Test and Evaluation of System Reliability, Availability and Maintainability: A Primer, see RAM Primer
Theater High-altitude Air Defense System, 32
Tortorella, Michael, 61, 86
Training exercises, data from, 37, 38-39
U
Uncertainty analysis, 5, 6, 28, 41, 62, 64, 70, 78
W
Warranty costs, 20, 21, 22, 23, 25, 61, 62, 63-64, 65, 67-68
Weibull model, 12, 42
Willard, Dan, 25
Williams, Marion, 74-75, 86
World Wide Web, see Internet
Representative terms from entire chapter:
field performance