Dataset of Vibration, Temperature, and Speed Measurements for Spherical Roller Bearings with Single, Dual, and Multi-Bearing Defects Under Variable Loads and Speeds

This dataset has been created by the ISED (Industrial Systems Engineering and Design) research group at Politecnico di Torino to extend the available data for the development of fault detection models and predictive maintenance strategies for medium/large-sized spherical roller bearings commonly used in industrial applications, by resorting to a test rig with spherical roller bearings simultaneously monitored.. Building upon the previously released dataset focused on single localized defects, this new dataset introduces multiple defect conditions, including: bearings with two defects on the inner race and bearings simultaneously defected in the test rig. These additions allow for a more comprehensive evaluation of diagnostic models under more complex and realistic fault scenarios.