Fault Diagnosis Method Research Of Rolling Bearings Based On Fractal Hteory And System Realization

In the rotating machinery equipment,rolling bearings are key components for maintaining the normal working position and rotation accuracy of the shaft,its operating state is directly related to the equipment?Rolling bearings as precision mechanical components,including the inner ring,outer ring,rolling body and cage four parts.As the working environment is complex,and long-term high-speed,high load conditions,prone to failure and affect the equipment or even the normal operation of the entire system.According to statistics,in rotating machinery equipment containing rolling bearings,more than 70%of the faults are bearing faults,therefore,it is of great significance to carry out the research of fault diagnosis of rolling bearing.In the current bearing diagnosis technology research results,mainly based on bearing vibration signal analysis,and diagnosis method based on fourier transform is the most widely used,because it has the theory mature,can reflect the signal time and frequency domain characteristics of the advantages,but also has shortcomings that are not suitable for non-stationary signals.Therefore,this paper uses the nonlinear analysis method to deal with the vibration signal,expanded the method of fault diagnosis.In this paper,the research of fault diagnosis method is mainly based on the texture feature of the gray signal of the vibration signal and fractal theory.After rolling bearing has failure,high-speed rotating bearings will have a periodic impact on the system,and the characteristics can be expressed in the time domain and frequency domain,and the signal gray scale will has texture features,therefore,this paper presents a fault diagnosis method based on LBP.By extracting the signal texture features,determining the bearing state.According to the shortcomings of gray scale sensitivity to noise,an improved method based on EMD noise reduction is proposed,and achieved good results.Rolling bearing vibration signal has fractal characteristics,therefore,this paper has carried on the research of fault diagnosis method based on fractal theory.First use the single fractal method for fault diagnosis,combined with ITD algorithm,successfully recognized the bearing failure type.But the single fractal has the disadvantage of not fully describing the signal characteristics,therefore,a method based on multiple fractal is proposed,and get a better diagnostic result.In order to meet the needs of modern enterprise equipment management,and combined with the theoretical research content,designed and developed the mechanical equipment management system based on status monitoring and fault diagnosis.The system contains the database and the software,and the system implements the functions of device management,condition monitoring and fault diagnosis.