On Wednesday March 22nd, 2023, at 19:00, Dr. Panos Kyrtatos, the Business Development Manager of Propulsion Analytics shall provide a presentation in the Technical Meeting of Greek Section of SNAME (Society of Naval Architects and Marine Engineers), about the “Digital Twins for Marine Asset Performance Monitoring; Physics-based vs Machine Learning Models for Different Applications”.
Digital Twins, i.e. mathematical representations of the operation of an asset, are used extensively in many engineering applications. In the maritime sector, digital twins of engines and vessels are used for performance monitoring, performance predictions, fault diagnostics, and performance-related decision support.
There are two main schools of thought concerning the methodology used for constructing digital twins; the traditional approach is based on analytical, physics-based, or empirical models, which try to replicate the operation of the asset under different conditions. On the other hand, an approach that has spread widely over the last decade uses machine learning on continuous operation data, to build accurate representations (profiling) of the asset. Unfortunately, these two different modeling approaches are often considered universally applicable solutions and supported dogmatically, while in reality, each type of modeling is more appropriate for different applications, depending on different factors such as the precision of analytical models, the complexity of the asset operation, the data availability and the prediction accuracy required.
In this presentation, Dr. Panos Kyrtatos will try to elucidate which type of models are most appropriate for performance monitoring of different maritime assets and provide concrete examples of cases where digital twins have aided in fault diagnostics of marine engines and vessel performance-related decision-making.
Participation is FREE to all, subject to RSVP.
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(adjacent to Onassion Cardiac Surgery Center)