most citedTowards a more realistic evaluation of machine learning models for bearing fault diagnosis

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cs.LG2026★ 2 cited

Towards a more realistic evaluation of machine learning models for bearing fault diagnosis

João Paulo Vieira, Victor Afonso Bauler, Rodrigo Kobashikawa Rosa +1

Reliable detection of bearing faults is essential for maintaining the safety and operational efficiency of rotating machinery. While recent advances in machine learning (ML), parti…