Project description
A long-term sustainable approach to asset management
As industries strive for sustainability, they shift from quick fixes to strategies that ensure the long-term health of critical assets. The ERC-funded HEROES project aims to transform how industries understand and manage asset degradation. Instead of treating faults as isolated events, HEROES views them as part of a larger, interconnected system affected by dynamic conditions. Researchers will leverage advanced physics-informed machine learning and AI tools to create models that predict how assets evolve over time. These insights will feed into decision-making systems designed to optimise maintenance and extend lifespans. Validated on wind turbines, HEROES will help optimise operation and maintenance strategies at component, system, and fleet levels, setting a new benchmark for sustainable and reliable asset management across industries.
Objective
The HEROES project proposes a transformative framework for longevity-focused health management of complex assets, shifting the focus from short-term performance metrics to long-term sustainability, reliability, and efficiency. While traditional methods prioritize immediate fault detection, they often overlook the interdependencies and evolving operational loads that influence asset lifespan. HEROES bridges these gaps by developing novel physics-informed machine learning (PIML) techniques to model long-term interdependent degradation and AI-driven, interpretable decision support tools.
The framework features a module for modeling, understanding, and forecasting the health evolution of wind turbines and their components under dynamic operational conditions. By developing cutting-edge PIML methods, HEROES predicts degradation, assesses interdependencies, and evaluates lifetime consumption under varying operating conditions. The project leads the way in integrating and developing physics-informed graph neural networks (GNNs) with Neural ODEs, transformers, and hierarchical GNNs, enabling accurate long-term predictions and scalable modeling across components, systems, and fleets.
Building on these predictive degradation models, HEROES proposes a pioneering decision support system for longevity optimization. It develops multi-agent reinforcement learning for health-aware control to extend component lifetimes, and optimize design for maintenance through operational feedback and generative models. HEROES further innovatively integrates counterfactual reasoning and neuro-symbolic AI to simulate long-term “what-if” scenarios, providing fully interpretable interaction with decision makers.
Validated on wind turbines, HEROES aims to optimize operation and maintenance strategies at component, system, and fleet levels. Its methodological innovations will drive a paradigm shift towards longevity-focused health management, reduced environmental impact, and enhanced reliability.
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.
This project's classification has been human-validated.
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.
This project's classification has been human-validated.
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.
-
HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
See all projects funded under this programme
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-ERC - HORIZON ERC Grants
See all projects funded under this funding scheme
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) ERC-2025-COG
See all projects funded under this callHost institution
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.
1015 LAUSANNE
Switzerland
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.