Novel SNR index based stochastic resonance rolling bearing fault diagnosis method

Abstract

The invention discloses a novel SNR index based self-adaptive stochastic resonance rolling bearing fault diagnosis method. The method can realize fault feature extraction and fault type discriminationwithout knowing the fault characteristic frequency in advance, and can suppress the side frequency, and is not affected by external load fluctuations, the bearing rotating speed and the bearing type.At the same time, the invention also provides an effective method for extracting fault feature information and discriminating the fault type in the case of a small-scale fault feature frequency oscillation caused by a load variation or the like.

Description

Technical field [0001] The invention relates to the field of extracting weak fault feature information of rolling bearings, in particular to an adaptive stochastic resonance rolling bearing fault diagnosis method based on a novel signal-to-noise ratio index. Background technique [0002] The vibration signal of mechanical equipment contains fault characteristic information, but the vibration signal is usually interfered by strong noise, which causes the fault characteristic information in the vibration signal to be submerged by strong noise, making it difficult to extract the fault characteristic information and distinguish the fault type. [0003] Therefore, extracting fault feature information under strong noise background is one of the key issues in the field of vibration fault diagnosis. In terms of the extraction of fault vibration characteristic information, the traditional method is to extract the fault characteristic information and distinguish the fault type by suppressing...

AI Technical Summary

Problems solved by technology

Although the classical signal-to-noise ratio index plays an important role in adaptive stochastic resonance, it is necessary to know the exact value of the actual eigenfrequency of the fault in advance when calculating this index, but it is impossible to know the exact value of the actual eigenfrequency of the fault in advance in practical applications , especially under disturbance conditions, the characteristic frequency of the fault is fluctuating, and this index cannot play a role

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