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Tutorial 2
4:00 to 5:30 p.m. Thursday
April 12, 2007
Reliability Growth Management and Data
Analysis
In order to attain reliability
objectives, early system prototypes are often subjective to
reliability growth testing. This testing may be specifically
dedicated to reliability or the testing may be integrated into
existing engineering development tests. When failure modes are
uncovered during the testing they are either corrected or not
corrected in accordance with the reliability growth management
strategy. For a particular program the management strategy is a
key factor in whether or not the desired reliability is attained.
To properly manage the
reliability growth process the reliability currently achieved and
the projected reliability impact of proposed future corrective
actions must be appropriately measured for a particular management
strategy. If the projected reliability is not on track to meet the
desired goal then the management strategy can be changed.
This tutorial will present a
structure for assessing the management strategy together with
proven models and methods for evaluating the reliability growth
based on test data and other engineering input.
This tutorial addresses modern
principles of reliability growth management and analysis,
including techniques and models to analyze data from time-based
tests where corrective actions may be implemented during the test,
after the test, or a combination of both, and from various
one-shot success/failure tests. The models and methods presented
in this tutorial are designed for real world applications and are
useful to reliability engineering and program management.
Key Words: Reliability
Growth Analysis, Developmental Testing, Crow AMSAA Model
Larry H. Crow
Crow Reliability Resources, Inc. |
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