期刊
MECHANISM AND MACHINE THEORY
卷 176, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.mechmachtheory.2022.104968
关键词
Meshing stiffness; Tooth crack; Tooth pitting; Time and frequency domains; Statistical features
资金
- National Natural Science Foundation of China [2021NSFC52175081]
- Middle-aged and Young Teachers' Basic Ability Promotion Project of Guangxi [2018KY0037]
This study focuses on the mathematical modeling and validation of gears with coupling faults. By analyzing the dynamic characteristics, the gear status can be diagnosed effectively. The use of statistical indicators provides further insights into the degree of coupling faults.
As an important part of power transmission in mechanical system, the health status of gear needs to be judged accurately. However, most of researchers focus on single fault gear, and very few papers are reported on the performance of multiple faults. So the gear mathematical model with pitting-crack coupling faults is derived in this study, and it is validated by a three-dimensional finite element model. Furthermore, several types of fault combinations from health to severity are presented to investigate the effect of coupling fault evolution on gear time-varying meshing stiffness. The stiffness excitation is applied into an 8 degrees of freedom model to obtain the dynamic characteristics of the gear-rotor system in terms of displacement and acceleration, and a reasonable diagnosis of the gear status can be made by analyzing the dynamic characteristics in time domain and frequency domain. In the next step of research, the statistical indicators are applied to further reveal the degree of coupling faults, which provides effective reference on the diagnosis of coupling fault gears.
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