arXiv Machine Learning July 7, 2026 By Jo\~ao Paulo Vieira, Victor Afonso Bauler, Rodrigo Kobashikawa Rosa, Danilo Silva

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

Read the original on arXiv Machine Learning →

arXiv:2509. 22267v5 Announce Type: replace Abstract: Reliable detection of bearing faults is essential for maintaining the safety and operational efficiency of rotating machinery.

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