? Introducing RUL-ET’s lines of research! ?

✨ The lines of research are grouped into 3 key areas

STRATEGIES FOR EFFICIENT DATASET GENERATION:
? Acceleration of physical tests in the laboratory
? Simulation of failure data

DECISION-MAKING TOOLS FOR PREDICTIVE MAINTENANCE
?Multi-objective optimization
?Uncertainty management

COMPONENT CONDITION MONITORING USING AI
?Structural health diagnosis
?Degradation assessment
?Flexible and generalizable prediction models

? We highlight the data sources that we will use to generate the datasets!

? Real environment: hashtag#HarshLab by TECNALIA Research & Innovation
? Controlled environment: hashtag#WaveFlume by UPV/EHU and hashtag#fatigue#hashtagbank by Mondragon Goi Eskola Politeknikoa
? Synthetic data: numerical simulations

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