The roller bearing characteristic frequencies contain very little energy, and are usually overwhelmed by noise and higher levels of structural vibrations. Therefore, envelope spectrum analysis is widely used to detection bearing localized fault. In order to overcome the shortcomings in the traditional envelope analysis in which manually specifying a resonant frequency band is required, a new ap...

Abstract: A novel bearing vibration signal fault feature extraction and recognition method based on the improved local mean decomposition (LMD), permutation entropy (PE) and the optimized K-means clustering algorithm is put forward in this paper. The improved LMD is proposed based on the self-similarity of roller bearing vibration signal extending the right and left side of the original signal ...

The discovery/invention of the ball-bearing motor is attributed to Milroy [1]. It has been discussed several times, with conflicting explanations [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]. This solution is a much simplified version of that given in [7]. Because the motor is weak, it is helpful to reduce friction on the axle by connecting the high-current lead to the outer races of the ba...

Bearings are essential parts used in machine tools where high precision is required. It is important to understand bearing failure in order to replace a bearing before it affects the quality of precision. Bearing failure appears as a run-out in some applications, which is a critical factor for precision. However, previous studies have only focused on failure mechanisms, such as spalling. In thi...

In order to improve the service life of needle roller bearing used in a precision cycloid reducer, and reveal skew collision phenomenon bearing, based on force analysis transmission mechanism reducer considering friction between wheel, roller, cage, crank shaft, dynamic contact rolling bodies is simulated by Hertz elastic contact, where cage pocket hole equivalent spring damping, nonlinear mode...