Electricity distribution companies are developing asset management strategies where different aspects of risk are addressed, including also intangible risks such as safety and environmental impact. Providing methods for risk-informed decision making is hence an important task. This applies to both risk analysis methods and methods for input data acquisition and preparation. The current paper presents a procedure wherein results from life curves are used as input to a quantitative risk analysis (QRA) model, with the aim to support distribution company asset management decision making. The procedure is illustrated by a case study concerned with safety risk analysis and maintenance strategy for making medium-voltage switch disconnectors in an electricity distribution company.
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