Mixed fault dataset of bearings and gearboxes under variable operating conditions

In response to the demand for health monitoring based on vibration signals, this paper has constructed a vibration signal dataset for multiple fault types under varying operating conditions: the bearing dataset covers single faults such as inner ring, outer ring, rolling elements, and cage, as well as combined faults of inner and outer rings; the gearbox dataset includes typical defects such as tooth surface wear, broken teeth, and eccentricity; an additional mixed fault dataset of bearings and gearboxes is also provided.

These datasets simulate real industrial scenarios through multiple dimensions, aiming to provide a reliable verification benchmark for intelligent diagnostic algorithms and improve the fault identification accuracy and model generalization ability under complex operating conditions.