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Research Papers: Applications

Image Acquisition and Image Processing Algorithms for Movement Analysis of Bearing Cages

[+] Author and Article Information
Eberhard Abele

Professor
Institute of Production Management,
Technology and Machine Tools,
Technical University of Darmstadt,
Otto-Berndt Str. 2,
Darmstadt 64287, Germany
e-mail: info@ptw.tu-darmstadt.de

Lars Holland

Institute of Production Management,
Technology and Machine Tools,
Technical University of Darmstadt,
Otto-Berndt Str. 2,
Darmstadt 64287, Germany
e-mail: holland@ptw.tu-darmstadt.de

Alexander Nehrbass

Institute of Production Management,
Technology and Machine Tools,
Technical University of Darmstadt,
Otto-Berndt Str. 2,
Darmstadt 64287, Germany
e-mail: info@ptw.tu-darmstadt.de

1Corresponding author.

Contributed by the Tribology Division of ASME for publication in the JOURNAL OF TRIBOLOGY. Manuscript received May 19, 2015; final manuscript received October 5, 2015; published online November 9, 2015. Assoc. Editor: Xiaolan Ai.

J. Tribol 138(2), 021105 (Nov 09, 2015) (7 pages) Paper No: TRIB-15-1162; doi: 10.1115/1.4031792 History: Received May 19, 2015; Revised October 05, 2015

Movement analyses of ball bearings with regard to stable and unstable cage motion behavior are often conducted by simulations, typically by investigating the cage whirl. Some experimental studies exist in which the cage is modified in order to capture its movement with sensors. This paper presents an image-based approach for investigating the cage motion without modifications, which in turn allows a cage motion analysis of an angular contact ball bearing under operation condition. Two new image evaluation algorithms are presented in detail and their suitability is verified by experiments on a bearing test rig.

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References

Figures

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Fig. 1

Methods of modifying the cage [13,14]

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Fig. 2

Test rig for bearing observation analysis

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Fig. 4

Circular objects with arbitrary deformations [25]

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Fig. 5

Distance ray-pixel

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Fig. 6

Star operator without and with subpixel interpolation: (a) subpixel interpolation deactivated and (b) subpixel interpolation activated

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Fig. 7

Results for iteration of the star operator

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Fig. 9

Zhou operator without and with subpixel interpolation: (a) subpixel interpolation deactivated and (b) subpixel interpolation activated

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Fig. 10

Perfect circle (black) and circle with noise function (gray)

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Fig. 11

Results generic images: (a) star operator and (b) Zhou operator

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Fig. 12

Comparison of star and Zhou operators

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Fig. 14

Cage centers, Zhou operator, revolution speed of the cage = 3000 rpm: (a) 2D-plot and (b) 3D-plot

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Fig. 13

Edge detection: (a) original image and (b) detail edge detection

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