一种评估TBM主轴承性能的方法,基于 entropy重量-灰色相关度的方法
Zhihong Sun1,2, Yuanke Wu2, Hao Xiao2
1School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
一种新方法通过使用权和灰色关系分析来评估道钻机 (TBM) 主轴承性能. 这种方法准确评估轴承状况,支持安全的TBM操作.
科学领域:
- 机械工程 机械工程
- 部落学 (tribology) 是一个学科.
- 状态监控 状态监控
背景情况:
- 道钻机 (TBM) 主轴承对于挖掘至关重要,但缺乏全面的测试和评估系统.
- 现有的TBM主轴承的测试技术有限,阻碍了有效的性能评估和安全操作.
- 在大型结构中,微弱的振动信号和显著的衰减给TBM主轴承状况监测带来了挑战.
研究的目的:
- 开发和验证TBM主轴承的综合性能评估方法.
- 调查负载和运行时间对TBM主轴承性能的影响.
- 提供理论和技术支持,以确保TBM的安全可靠运行.
主要方法:
- 使用自主开发的全尺寸TBM主轴承试验台进行实验调查.
- 在代表性负载频谱下进行运行条件测试和生命周期测试.
- 应用重法用于指标权重和灰色关系分析进行综合评估.
主要成果:
- 成功开发了一种结合权衡和灰色关系分析的新型评估方法.
- 轴承性能评估显示,随着轴承负载的增加,综合系数下降.
- 随着测试持续时间的增加,观察到轴承性能逐渐恶化,验证了该方法的准确性.
结论:
- 拟议的性能评估方法有效和准确地评估了TBM主轴承的状况.
- 该方法为在各种工作条件和时间段下的轴承性能提供了有价值的见解.
- 这些发现支持通过强大的主轴承监控来提高TBM的安全性和运行可靠性.
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