Experimental Vibration Dataset for Rolling Bearing Outer Race Fault Diagnosis under Variable Load Conditions

This dataset provides vibration signals from rolling element bearings, specifically the UC204 insert ball bearing (GBR), collected under healthy and faulty conditions for research in fault diagnosis and condition monitoring.

Experimental Setup:

Hardware: Measurements were captured using an ADXL210 accelerometer mounted near the bearing housing.

Data Acquisition: Signals were processed via a National Instruments USB-6212 (16-bit resolution) interfaced with LabVIEW.

Operational Parameters: The shaft speed was constant at ~1500 rpm (25 Hz). Three load levels were tested: 0.25 hp, 0.4 hp, and 0.6 hp.

Fault Conditions:
Artificial outer race defects were introduced as linear grooves with four severity levels (lengths): 0.18 mm, 0.36 mm, 0.54 mm, and 0.72 mm.

Data Structure:

Sampling Rate: 3200 Hz.

Signal Length: 32,000 samples (~10 seconds) per file.

Quantity: 10 signals per operating condition.

Format: Plain text (.txt) time-series files, organized into folders by condition and load.

This dataset is suitable for vibration analysis, signal processing, and machine learning applications in predictive maintenance.