LIU Yilin, ZHANG Pan, CHAO Ben, et al. A Non-Intrusive Rolling Bearing Cage Trajectory Extraction Method Using Image Processing Program[J]. 2024, 58(3): 95-105.
DOI:
LIU Yilin, ZHANG Pan, CHAO Ben, et al. A Non-Intrusive Rolling Bearing Cage Trajectory Extraction Method Using Image Processing Program[J]. 2024, 58(3): 95-105.DOI: 10.7652/xjtuxb202403009.
A Non-Intrusive Rolling Bearing Cage Trajectory Extraction Method Using Image Processing Program
Existing methods for measuring the centroid trajectory of bearing cages often require structural modifications to the bearing
which can distort the assessment of its dynamic characteristics. In contrast
image-based methods offer a non-invasive alternative but they depend on marker precision and tracking accuracy. This can make it challenging to obtain an accurate centroid motion representation. This paper proposes a method for extracting motion trajectories for rolling bearing cages using an image processing program with a subpixel edge detection algorithm. This method accurately identifies and extracts the cage centroid's trajectories without altering the bearing's structure. Experiments are conducted on bearing cages with different guidance modes. The results show that the cage's motion trajectory is influenced by the structures of the cage as well as the inner and outer rings of the bearing
resulting in varying shapes of the trajectory. Within the range of experimental speeds
the stability of cage motion improves with the increase of rotational speed. These results confirm the effectiveness of the proposed trajectory extraction method. This paper presents a convenient and accurate testing method for investigating the dynamic characteristics of bearing cages
allowing for the effective extraction of the centroid trajectory of bearing cages.
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