The Change of Slope Methodology in Reliability Growth Analysis

Case Study

When performing reliability growth analysis during the in-house developmental testing of a product, it is common practice to use non-homogeneous Poisson process (NHPP) models (such as the Crow-AMSAA) to model failure data. The assumption of these models is that the failure intensity is monotonically increasing, decreasing or remaining constant over time.

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