电缆管道
方位(导航)
电阻抗
时域
结构工程
信号(编程语言)
材料科学
频域
声学
工程类
计算机科学
数学
电气工程
物理
有限元法
数学分析
人工智能
程序设计语言
计算机视觉
作者
Georg Martin,Florian Michael Becker-Dombrowsky,Eckhard Kirchner
标识
DOI:10.1016/j.triboint.2022.107503
摘要
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.
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