Project description
Intelligent and secure condition monitoring for wind turbines
The monitoring of wind farms has become challenging due to issues related to data fragmentation and confidentiality, which hinder cooperation among the various wind farm operators. Supported by the Marie Skłodowska-Curie Actions programme, the WINDWISE project is designing a privacy-preserving framework using a hierarchical architecture of federated learning. This framework allows distributed model training without disclosing the operational data by leveraging a combination of centralised learning within a single farm and decentralised learning among different farms. The computation and communication restrictions are managed with the help of a ring coordination strategy for the implementation of this architecture on real data. The results can be instrumental in improving the accuracy and efficiency of condition monitoring.
Objective
WINDWISE targets scalable and private wind-fleet condition monitoring by uniting intra-farm centralized federated learning (CFL) with an inter-farm decentralized federated learning (DFL) layer in a hierarchical CFL-DFL (HFL) architecture. Current practice is limited by fragmented data ownership, uneven computing and bandwidth, and privacy risks that hinder cross-operator/company collaboration. WINDWISE addresses these bottlenecks by keeping raw operational data on wind farms while enabling collaborative model updates within and across farms. The project will (i) formalize and evaluate CFL for intra-farm coordination under realistic constraints, (ii) develop system-aware client (turbine) selection to manage straggler clients that lag in computation or communication and improve learning efficiency, and (iii) establish a ring-based DFL layer for cross-silo collaboration without central coordination. Methods will be validated through controlled benchmarks against siloed and CFL-only baselines, using open and partner datasets with virtualized clients to test bandwidth, latency, and dropout conditions. Expected outcomes include privacy-compliant diagnostics with fewer false alarms, higher availability, and lower operations and maintenance (O&M) costs, plus practical policies for scheduling and aggregation and an open toolkit to support adoption. This work directly supports wind-asset management by improving reliability and availability, enhancing condition awareness, and safeguarding data sovereignty and privacy.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2025-PF
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
33100 Tampere
Finland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.