Critical infrastructures are systems present in our society, which interfere in several ways when they do not operate in their normal conditions. Electric Power Distribution systems are an example of critical infrastructure, and therefore, the study of the common factors that affect their performance has great relevance. The concept of time to event (Lifetime Data Analysis) makes it possible to use survival analyses to estimate the influence of different dangers on the reliability of systems. A Weibull distribution was used to implement a Weibull regression, using climate data and information about failures of a Brazilian Electrical Power Distribution System, allowing verification of how climatic events impact this type of critical infrastructure. The results presented describes the failure chance given certain climatic conditions, indicating the effect of such exogenous covariates. With greater awareness of potential threats, the reliability of the system can be incresead by better planning and for threats mitigation.

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