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Objective 1

Research and design intelligent, non-invasive monitoring solutions and advanced algorithms hosted in secure sovereign data space, based on acoustic, lidar, machine vision, temperature and vibration information.

Objective 2

To study new correlations of variables and operational parameters of offshore wind turbines that are acquired through non-invasive monitoring technologies, allowing to digitise and optimise the O&M, AEP and life extension of each asset.

Objective 3

Research and design predictive failure algorithms and maintenance strategies for each subsystem (float, tower, blade, turbine) that are capable of determining relevant technical-economic indicators that improve machine availability levels and annual energy production.

Objective 4

Research and design data space technologies, capable of active data management from sovereign clouds, offering strict levels of protection through cybersecurity with trusted AI and distributed logging technologies applied to the cybersecurity of communications between the different elements, as well as trust in data exchanges.

ISATI's particular objectives with the OPTIMAR project are:

O1. Research on new non-invasive systems for early detection and prediction of failures in the different subsystems of an offshore wind farm. Technologies to monitor structural damage and corrosion in floating platform, tower and blades will be investigated.

O2. Research on new non-invasive systems to monitor the dynamics of floating offshore platform substructures. Technologies will be investigated to monitor the dynamic behaviour of blades, tower and floating platform with the intention of detecting functional failures and predicting failures and damage at early stages of development.

O3. Research into modelling and failure prediction technologies using representative digital twins of each substructure, including new AI-based tools to monitor the in-use life and degradation status of systems.

O4. Investigate intelligent agents based on deep reinforcement learning for the detection and mitigation of cyber-attacks based on the design of the necessary guidelines to be applied to the monitoring systems deployed on the turbine, tower, floating platform and blades to be cyber-secure.

O5. Research on the optimisation of maintenance strategies to reduce costs associated with O&M, increase the useful life of the different assets of the installation, optimise annual energy production and generate relevant technical-economic indicators.

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