The increase in the unit power of devices used in offshore renewable energy presents the challenge of withstanding significantly higher structural loads. In addition, wind farms are being installed at increasing distances from the coast and in deeper waters, making it essential to develop floating technologies capable of adapting to these extreme conditions. Furthermore, the marine environment introduces additional complexities, such as the high costs of accessing assets and the significant economic impact of any failure that disrupts energy production.

Artificial Intelligence (AI) offers promising results in modelling degradation; however, it requires extensive datasets, such as long time series of up to 20 years, to estimate the lifespan of these devices. Additionally, data-driven approaches often lack generality and are typically applicable to a single project. Moreover, in the renewable energy sector, decision-making is based not only on economic criteria but also on the reliability of components.