LAUSR

Abstract As an important part of mechanical transmission parts, rolling bearings directly affect the operating efficiency of the machine. Therefore, the diagnosis of rolling bearing fault information is of great significance to the operation of the machine. Aiming at the problem of bearing fault diagnosis and location, this paper proposes a fault diagnosis method with improved energy entropy and a location method based on vibration amplitude attenuation. First, when the fault is slight, the difference in energy entropy distribution is small, and the fault information cannot be accurately diagnosed. To solve this problem, an improved energy entropy is proposed in this paper. By increasing the vibration amplitude, the difference of energy entropy distribution is expanded, and the accuracy of fault diagnosis is improved. Secondly, taking the logarithm of the vibration signal attenuation function, the exponential attenuation is transformed into linear attenuation, and the specific location of rolling bearing outer raceway fault is located from the amplitude values of three different points and their amplitude attenuation. Finally, comparing experiments with other methods shows that the improved energy entropy and fault location method proposed in this paper is effective.