domain analysis
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2022 ◽  
pp. 55-92
Author(s):  
Ming Rao ◽  
Haiming Qiu

2022 ◽  
Author(s):  
Georg Martin ◽  
Florian Michael Becker ◽  
Eckhard Kirchner

This paper presents a novel condition monitoring method for rolling bearings, based on measuring the electric bearing impedance. The method can diagnose the presence of damage by frequency-domain analysis, and its extension along the raceway by time-domain analysis. The latter enables the assessment of the severity and the progression of bearing damage. A fatigue test shows that the occurrence of pittings in the bearing raceways causes characteristic peaks in the impedance signal, and that the duration of the peaks increases during damage progression. A second test series with artificial damage shows that the duration of the peaks depends on the bearing load and the length of the damage along the raceway and confirms the explanation hypothesis.


Author(s):  
Geonyoung Kim ◽  
Seong Hyeon Park ◽  
Jeseok Bang ◽  
Chaemin Im ◽  
Jaemin Kim ◽  
...  

2021 ◽  
Vol 104 (12) ◽  
Author(s):  
Eliot Finch ◽  
Christopher J. Moore

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