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The in-service condition in the rolling bearing at working conditions is a source of substantial damage to the bearing. Since the impact, vibration and abnormal load lead to bearing damage and damage to the whole system, the in-service condition of the rolling bearing can be used to indicate the running condition of the system. The in-service condition of the rolling bearing is the state where the rolling element bears the impact and vibration of the machine during the work. The bearing fault monitoring and in-service condition detection of the fault is the monitoring and detection of rolling bearing in-service conditions. The bearing in-service conditions can be classified into internal and external faults. Internal faults mainly include ball fault, cage fault, inner ring fault, and outer ring fault. Common fault types of the bearing for its external faults include chipping fault and surface crack fault.


In the article [ 7 ], the study of the detection of rolling bearing external bearing faults by modal characteristic frequency analysis based on stochastic independence subspace of nonlinear time series was conducted. The relationship between the structural features of rolling bearing external bearing faults and the fault characteristics of the rolling bearing was analyzed. The wavelet transformation was used to analyze the waveform of the vibration signal to extract the characteristic frequency to obtain the structural features of rolling bearing external bearing faults. The method based on the structural features of the fault characteristics of rolling bearing external faults was studied. On this basis, the fault characteristics of the rolling bearing internal and external bearing faults were analyzed, the influence of the bearing fault parameters on the fault characteristics was studied, and the fault characteristics of bearing surface crack and ball fault were analyzed. Finally, the method based on the detection of the rolling bearing external faults was established. 84d34552a1