"A Data-driven Condition Monitoring method to predict the Remaining Useful ..."

Giovanni Di Nuzzo et al. (2023)

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DOI: 10.1109/ICPHM57936.2023.10194131

access: closed

type: Conference or Workshop Paper

metadata version: 2023-11-12

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Giovanni Di Nuzzo, Horst Lewitschnig, Marc Tuellmann, Sven Rzepka, Alexander Otto:
A Data-driven Condition Monitoring method to predict the Remaining Useful Life of SiC Power Modules for Traction Inverters. ICPHM 2023: 312-319

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