As existing fleets of nuclear power plants continue to seek long term operation, aging management programs have been developed to mitigate the effects of degradation processes affecting reactor components that are important to safety and generation. Inspection programs are an integral part of aging management, as they provide crucial information to determine the scope of maintenance and replacement programs and guide investment planning of life extension projects. This paper presents a probabilistic framework for calibrating the sample size of a periodic inspection program with the goals of the aging management program, such as limiting the number of potential substandard components below a reasonable threshold.

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