This tool estimates the required number of test samples as a function of planned test duration, ensuring statistical confidence in reliability outcomes. It helps balance test scope, resource constraints, and confidence levels.
Based on ALT run-to-failure data, this tool creates reliability (R) vs. confidence (C) trade-off lines. It enables engineers to visualize achievable reliability levels at given confidence intervals from experimental results.
This tool calculates the acceleration factor between test conditions and use conditions. It supports mapping accelerated life test results to real world field performance, improving predictive accuracy.
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