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PhD MSCA - Acoustic and Ultrasound-based Predictive Maintenance Systems for Industrial Equipment Power converters are essential in numerous applications such as industry, photovoltaic systems
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(FDD), and predictive maintenance for industrial systems. The position forms part of the EU-funded FLARE project, which addresses digitalisation, flexibility, resilience, and sustainability in industrial
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 4 hours ago
observations with hydraulic models and digital twins, new predictive tools can be developed to identify increasing failure risks and support proactive monitoring and maintenance strategies for drinking water
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for impact, aligning closely with Network Rail’s CP7 goals for climate adaptation, predictive maintenance and digital-asset optimisation. The modelling framework developed may also be transferable to other
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The project: Non-destructive testing (NDT) is vital to ensure structures are safe and to reduce operating costs by facilitating predictive maintenance. The focus of this project is on improving
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. The objective of this PhD project is to develop AI methodologies for the analysis part of condition monitoring (CM) and predictive maintenance (PM). The primary challenge in predictive maintenance lies in
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for our environment? Will the streets ever by quiet again? This PhD will give you the opportunity to build models that predict this! Job description In 2023, global drone shipments reached 1 million
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adaptability of AI, enabling predictive maintenance and adaptive energy management across varying driving and environmental conditions. The outcomes are expected to contribute to the development of sustainable
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reports to develop computational models that predict identification reliability. They will learn to design interpretable, legally robust AI systems, including attention-based deep learning models and
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digital twins for energy systems, buildings, and infrastructure Predictive maintenance and condition monitoring of energy related assets Integration of heterogeneous and multimodal data sources in energy