Rolling bearing rolling body weak fault feature extraction method under transmission path

Abstract

The invention discloses a rolling bearing rolling body weak fault feature extraction method under a transmission path, and the method comprises the steps: decomposing a fault signal into a series of IMF modal components through employing a VMD signal decomposition method, removing an IMF containing a rotating frequency component from the IMF, selecting an IMF containing more fault information from the remaining modal components for signal reconstruction, and therefore, the influence of the frequency conversion component and other interference components on the fault characteristics is limited; for the problem that the fault features of the bearing rolling body signal are weak in the transmission process, the periodic fault features of the bearing rolling body signal are enhanced by adopting a parameter optimization MCKD method; and finally, the 1.5-dimensional spectrum is used as post-processing of the method, and the fault frequency and frequency multiplication of the signal are fully highlighted. According to the method, the periodic fault features of the weak fault signals are fully enhanced by utilizing the method of combining the parameter-optimized MCKD algorithm and the 1.5-dimensional spectrum, and compared with the traditional MCKD algorithm and the 1.5-dimensional spectrum, the combined method has a better feature extraction effect.

Description

technical field [0001] The invention relates to the technical field of rolling bearing fault feature extraction, in particular to a method for extracting weak fault features of a rolling body of a rolling bearing under a transmission path. Background technique [0002] As an important part of rotating machinery, rolling bearings play an extremely important role in the normal operation of the entire mechanical system [1-3]. Therefore, it is particularly important for the state detection and fault diagnosis of different parts of rolling bearings under different operating modes. The faults of rolling bearings are mainly concentrated in three parts, namely the bearing inner ring, outer ring and rolling elements [4-5]. Among them, because the bearing rolling body is located inside the rolling bearing, the transmission of fault signals is more complicated, resulting in weaker fault characteristics of the rolling body than inner ring faults and outer ring faults, and it is more di...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method for extracting weak fault features of rolling bearing rolling elements under the transmission path, aiming at the problem that the signal fault features of bearing rolling elements are weak and easily subject to serious interference in the case of a long signal transmission path in the prior art, so as to Accurately diagnose bearing rolling element failures down the transfer path

Images