CORDIS Project
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This project focuses on enhancing the diagnosis and prognosis of polymer electrolyte fuel cell systems by utilizing advanced deep learning and knowledge technologies. It aims to automate decision-making processes and improve insights through innovative knowledge representations and natural language processing technique…
Modern advanced and high value fuel cell systems are monitored by multiple embedded sensors which transmit a large amount of data every few seconds.
Unfortunately, service engineers are still faced with the challenging task of identifying the causes of a failure by manually investigating not only the streaming sensor data but also a wide range of structured, semi-structured and unstructured monitoring data.
At the same time, they are required to have a thorough knowledge of the full operating me…
ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON
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