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Diss. (sammanfattning) Luleå : Luleå tekniska universitet, 2024

Traditional maintenance planning methods are inadequate for linear assets because of their extended lifespan and varying conditions. A more effective approach is needed to address RAMS, criticality, resilience, and sustainability cost-effectively throughout the asset's lifespan. Linear assets refer to infrastructure that spans over large geographical areas, such as high-tension power cables, railway overhead catenary, pipelines, highways, and underground mining drifts. These assets are difficult to maintain and often lack a comprehensive digital footprint due to absence of appropriate sensors and data processing techniques. This research aims to address these challenges by adapting techniques from cyber-physical systems and development of Digital Twins (DT) for linear assets. To manage the inherent complexity System-of-Systems approach has been employed during the development process. The primary focus of this research is on spatial condition monitoring and health management of linear assets through maintenance decisions and decision support tools, with emphasis on railway overhead catenary and underground mining drifts.