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One of the measures used to prevent the occurrence of power connection failures is to estimate the anomalous behavior of an electrical connection in the early stages of contact operation when the first signs of critical stage become apparent. This paper investigates the possibility of applying the statistical prognostic methods for determining the residual life of power connections.

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As energy is the main ‘fuel’ for social and economic development, and since energy-related activities have significant environmental impacts, it is important to lower emissions and stabilize atmospheric CO2 levels to avoid the worst predicted effects of climate change. Reducing energy consumption and costs is becoming central to planning, construction, and use of energy construction facilities from an environmental and economic point of view. Each energy source has advantages and disadvantages referred to: operating costs, environmental impact, and other factors. Each generation method produces some greenhouse gases (GHG) in varying quantities through construction, operation, and decommissioning. Some generation methods like coal fired plants release the majority of GHGs during operation. Others, such as wind power and hydro power release the majority of emissions during construction and decommissioning. Normalizing the lifecycle emissions with electrical generation allows a fair comparison of different generation methods on a per gigawatt-hour basis.