LORTEK – Quality control of welds by profilometry measurements LORTEK Sector: Industry Business Case In the welding process, one of the criteria that determines the quality of the joints is the depth of penetration that the bead has passed through. When two segments are welded together, quality assessment is often costly, especially when access to […]
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Mondragon Innovation | Humanity at work – Detection of Anomalies in Components of Repetitive Part Production Machine Tools Mondragon Innovation | Humanity at work Sector: Industry Business Case The LG400 grinding machine performs the machining of large batches of repetitive parts in an automotive company. The machine is connected and sending data related to its
Mondragon Innovation | Humanity at work – Detection of Cutting Tool Breakage in Machining from Vibration Signals with Artificial Intelligence Techniques Mondragon Innovation | Humanity at work Sector: Industry Business Case Milling cutter tooth breakage in long unattended machining processes can affect the quality of the resulting part and not be detected until it is
Petronor – Promise, Improving Machine Reliability Petronor Sector: Industry Business Case Improvement of machine and process reliability through the application of models for defect diagnosis and prognosis. Objectives Increase device life and minimise unplanned downtime. Improve security. Use case Creation of diagnostic and prognostic algorithms. Design of an algorithm that measures asset health footprint and
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SEIDOR – ARIM – Autonomous Robotic Sea-Floor Infrastructure SEIDOR Sector: Industry Business Case Within the scope of a European project, Deusto SEIDOR is responsible for developing artificial vision software to detect, classify, and automatically count benthopelagic species (those living near the bottom) from images captured by aquatic observatories (LoVe Observatory), and autonomous aquatic robots (crawlers).
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Tecnalia – WTURBO Wind Turbine Power Train Digital Twin Tecnalia Sector: Energy Business Case Operation and maintenance (O&M) costs represent 25 to 35% of the LCOE (levelised cost of energy) of wind turbines. Corrective maintenance is responsible for 30 to 60% of O&M costs. This challenge involves developing a digital twin for the electrical components
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Tekniker – Detection of hazardous elements in scrap yards Tekniker Sector: Industry Business Case Inspection of the scrap received is performed visually by scrap yard personnel, once deposited, which requires a significant investment of time and is prone to subjectivity. This means that the presence of dangerous items or the non-compliance with the dimensional criteria
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Vicomtech – Optimising the Design of Large CV Joints Using AI Vicomtech Sector: Industry Business Case The design and implementation of software based on machine learning involve the analysis of parameters and proposed designs to identify potential failure modes, eliminating the continuous use of test benches. This approach is expected to result in significant energy,
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Ariadna – ARIADNA shunt algorithm: Automatic Detection of Tampered Meters Ariadna Sector: Energy Business Case How can we achieve automatic detection and protection of the power grid against smart meter tampering, considering the crucial need to identify tampering early and take proactive measures to ensure accurate billing and reliable energy supply for consumers? Objectives Develop
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Ceit – Assistance to workers in the assembly process in the aeronautics industry Ceit Sector: Industry Business Case Due to societal (e.g., ageing) and technological changes, many industrial workers need or can benefit from assisted automation technologies such as AI, collaborative robotics, and XR. However, the transformation of exclusively manual activities into assisted ones is
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