ZIBO CITY, SHANDONG PROVINCE, CHINA, February 12, 2026 /EINPresswire.com/ -- The automotive industry depends on ...
Data from PdM programs across mining and aggregates facilities reveals a clear pattern. The following five fault types are ...
Abstract: Distributed bearing faults are highly common in industrial applications and display unpredictable vibration patterns impeding their detection. These faults stem from issues such as ...
Abstract: In this work, the authors present a Machine Learning (ML) algorithm which is able to detect incipient failures of roller bearings starting from data provided by accelerometers. Three ...