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Reliability growth - Statistical test and estimation methods
Reliability growth refers to the process of improving the reliability of a system or product over time through design changes and testing.
Statistical test methods are employed to evaluate the reliability data collected during the growth testing phases. These methods help in determining if the reliability improvements are statistically significant.
Estimation methods are used to quantify the reliability growth by fitting appropriate models to the failure data. These models provide estimates of reliability parameters that guide further development and decision-making.
IEC 61164:2004 gives models and numerical methods for reliability growth assessments based on failure data, which were generated in a reliability improvement programme.
These procedures deal with growth, estimation, confidence intervals for product reliability and goodness-of-fit tests.
The main changes with respect to the previous edition are:
This standard should be used in conjunction with IEC 61014.
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