A workflow for synthetic data generation and predictive maintenance for vibration data

HIGHLIGHTS

  • who: Şahan Yoruç Selçuk and colleagues from the Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey have published the Article: A Workflow for Synthetic Data Generation and Predictive Maintenance for Vibration Data, in the Journal: Information 2021, 12, 386. of /2021/
  • what: The aim of this study was to propose a methodology to generate synthetic vibration data using a digital twin model and a predictive maintenance workflow consisting of preprocessing feature engineering and classification model training to classify faulty and healthy vibration data for state estimation. In an industrial context, the main . . .

     

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