| Rolling bearing is widely used in rotating machinery,and its running state directly affects the performance of mechanical equipment.When the rolling bearing failure,the internal parts can produce shock and collision,so a large number of impulse response components will appear in the signal,resulting in significant changes in the amplitude and frequency structure of the signal.In view of this,the auditory saliency model is introduced to the fault feature extraction of rolling bearing.This paper mainly to complete the following work:(1)In order to accurately identify the frequency band occupied by impulse response components and learn the response characteristics of the human auditory system to burst signals,the method of frequency band selection based on the specific intensity and GT filtering is proposed.The experimental results show that the frequency spectrum obtained by the proposed method can obtain a clearer envelope spectrum,which plays an important role in improving the accuracy of rolling bearing fault diagnosis.(2)An improved auditory saliency model is proposed and applied to the extraction of impulse response signals.The proposed model uses multi-scale one-dimensional Gaussian filter,multi-scale two-dimensional Gaussian filter and cross-scale integration.The proposed model integrates the results of one-dimensional and two-dimensional Gaussian filtering and simulates well the human ear’s time-frequency receptive field.Compared with the traditional salient model,it can express the impact response more clearly and eliminate the baseline drift.Experimental results show that the model has a good application effect.(3)In order to effectively extract the impulse response signal,an improved binaural auditory saliency model is proposed.The proposed model uses the time-frequency masking method to extract and filter the multi-channel signals in time-frequency bands,and then obtains the common impulse response components of multi-channel signals by fusion.Experimental verification shows that the model can enhance the significance of the mutation information in the signal.(4)The separability of the damage faults of the inner race,the outer race and the rolling element of the rolling bearing was tested based on auditory saliency spectrum and principal The test results show that the saliency spectrum of the rolling bearing has different morphological characteristics when the damaged parts are different.It shows that different impulse response components caused by different faults have different frequency structure,which provides a reference for expanding the diagnostic thinking of the rolling bearing.(5)A dynamic model of faulty rolling bearing was set up.The responses of normal,inner race failure,outer race fault and rolling element fault were analyzed.The results show,when the rolling bearing has different states,that the shock response components of response signal have different resonance peaks Morphology and frequency structure characteristics,which are close to the experimental results. |
