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Publikováno v:
IEEE Transactions on Industrial Informatics. 18:7718-7728
In this article, a novel weakly supervised machine learning approach is proposed for intelligent predictive maintenance (IPdM). It employs balanced random forest and multiple instance learning based on event logs from ships’ electric propulsion sys