Application Examples of Fault Detection and Isolation Strategies using System Identification Approaches
Research Issues and Investigation Topics: General Comments and Discussion. Seminar of two hours for the University of Science & Technology Beijing - USTB.
Abstract
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These presentations prepare doctoral researchers to craft high-impact papers while exploring pressing questions at the intersection of artificial intelligence and offshore wind energy. We begin by unpacking what makes a compelling article: a clear research question grounded in the literature; transparent methods and reproducible evidence; a persuasive narrative that distinguishes contribution from context; and lean, precise prose. We then survey open problems in artificial intelligence, including robustness to distribution shift; interpretability and trustworthy decision-making; data efficiency and bias reduction; integration of domain knowledge and physics; and the environmental footprint of large-scale computation. Finally, we use offshore wind turbines as a unifying application domain. Topics include condition monitoring and fault diagnosis; resilient control under turbulence and extreme weather; digital twins for lifecycle assessment; floating platforms and grid integration; and uncertainty quantification for operations and maintenance. Throughout, we emphasise research design that connects method to measurable benefit, ethical and responsible innovation, and cross-cultural collaboration. Participants will leave with a practical blueprint for structuring their next manuscript and a map of research opportunities where rigorous writing and innovative methods can deliver reliable, sustainable energy.
Keywords
- Scholarly writing; Research design and reporting; Artificial intelligence robustness and interpretability; Offshore wind energy; Condition monitoring and fault diagnosis; Digital twins and resilient control.
Talk's Slides and General Topics
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