Research On Fault Diagnosis Of Rolling Bearing Based On Mathematical Morphology And Energy Operator

Rolling bearings,as the main transmission components of mechanical equipment,are gaining more and more attention from researchers and enterprises.However,due to the double negative effects of its own special internal structure and external harsh working environment,rolling bearings are prone to failure.As a rolling bearing that bears load and transfers motion,failure will cause huge economic losses.If the mechanical equipment can be detected,repaired,and replaced in the budding stage of bearing failure,the disaster can be minimized.To this end,this paper launched a research on fault detection of rolling bearings.When the bearing is working,the generated vibration signal often contains a lot of external noise,and the slight fault impact component is usually submerged.How to eliminate interference noise from the redundant signal and highlight the fault characteristics are the key to diagnosing the bearing.This paper uses variable-scale morphological filtering and an improved energy operator to diagnose rolling bearing faults.The main contents are as follows:Analyze the vibration signal of the rolling bearing from the time domain and frequency domain respectively,and put forward various characteristic parameters reflecting the vibration level and noise level of the rolling bearing.The principle of single-scale mathematical morphological filtering and traditional energy operator are introduced,and the effects of noise reduction and energy demodulation are verified by simulation data.The results show that although both have certain value,they have certain defects.The process lacks adaptability,and the latter is not prominent enough for the energy amplitude after signal demodulation.In view of the above shortcomings,a variable-scale morphological filtering method is proposed,which can adaptively adjust the scale of the structural operator for different signals,and verify its good noise reduction effect on the simulated signal;in the traditional Teager energy operator To improve,a third-order Teager energy operator is proposed.The analysis of the simulation data shows that it has better energy demodulation capability than the conventional Teager energy operator.The data acquisition experiment of rolling bearing fault signal is carried out,and different diagnosis methods are proposed for different types of vibration signals.For signals with relatively high signal-to-noise,the third-order Teager energy operator is directly used for diagnosis and analysis;because the Teager energy operator is extremely sensitive to noise,for signals with low signal-to-noise,variable-scale morphological filtering is introduced to reduce the noise of the signal Using the third-order Teager operator for energy demodulation,the characteristic frequency of the fault is extracted from the energy spectrum to complete the fault diagnosis.The effectiveness of the proposed method is verified on the outer ring and rolling element data.