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International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence ((ICSMD2024))
2024年10月31日~11月03日
中国 · Huangshan
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ID / 提交时间
180
/ 2024-09-01 12:09:14
标题
Vibration feature of spur gear transmission
关键字
Crack fault Slice method Mesh stiffness
主题及专题
lTime Frequency Analysis
状态
全文被拒
作者
LuZhe / Anhui Xinhua University
摘要
Gear tooth root crack is a typical fault of gear transmissions and it threatens the operation safety
of gear systems. Therefore, precise detection of the tooth root crack is of a great significance for
the prevention of serious safety accidents. As one of the commonly used methods, vibration-based
detection has drawn great attentions. However, the mapping relationship between the vibrations
and the severity of tooth root crack has not been established well, especially for the crack with
non-uniform distribution due to the complexity of its dynamic modelling. To address this prob
lem, an improved gear dynamics model considering non-uniform distribution of the gear tooth
root crack fault is established in this paper by using the ‘slice method’. Compared with the
traditional methods, the advantage of the proposed model is that it enables the accurate
modelling of the non-uniform dynamic mesh forces along tooth width that will further excite the
support bearings. Then, the dynamic simulation of the gear transmission with non-uniform tooth
root crack is performed. The results indicate that the improved model can reveal the vibration
characteristics of the gear transmission due to the extra roll and yaw motions caused by the non-
uniform tooth root crack. In addition, the correlation between the vibration and the crack size and
location is quantified. This study could provide theoretical reference for quantitative detection
and diagnosis of gear tooth root crack.
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重要日期
会议日期
10月31日
2024
至
11月03日
2024
09月30日
2024
初稿截稿日期
11月12日
2024
注册截止日期
主办单位
Anhui University
Xi’an Jiaotong University
Harbin Institute of Technology
IEEE Instrumentation & Measurement Society
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ic******@163.com
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