Study on Rolling Bearing Wear Experiment with Multi-source Information Monitoring

As a key component of mechanical equipment, rolling bearings are directly affect the accuracy and life of the entire equipment. The rapid abnormal state detection and the accurate fault diagnosis of the rolling bearing are conducive to the safe and stable operation of mechanical equipment. At present, most of the fault diagnosis methods of rolling bearings are based on vibration signals. In this paper, a set of life-cycle rolling bearing wear test benches was designed, and the vibration signal, the number of oil abrasive particles, and the noise signal were collected on the test bench. The test uses a 6205-TPI rolling bearing, the motor speed is set to 2400 rpm, the loading torque is 6500 N, and the test duration is 418 min, to realize the state monitoring of the whole life wear test of the rolling bearing, and the test results show that the total vibration level change rate of the effective value of the vibration signal increases from 0.0016/min to 0.5297/min, and the amplitude increases from about 5 g to 80 g. The oil mill particle build-up increased from 1.8 to 80 particles per minute, and the noise signal increased from 71 dB to 82.3 dB.