螺栓松动的检测方法基于绝对频谱比率的总和系数
Haoyang Guo1, Jianfeng Zhong1, Bin Feng1
1Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Sensors (Basel, Switzerland)
|January 11, 2025
概括
本研究引入了一种使用绝对光谱比率 (SCASR) 总和系数的新型螺栓松动检测方法. 该技术有效地识别和量化机械连接中的螺栓松,即使在早期阶段.
科学领域:
- 机械工程 机械工程
- 振动分析 振动分析
- 状态监控 状态监控
背景情况:
- 螺栓松动是机械连接中的关键故障模式,损害了结构完整性.
- 现有的检测方法可能缺乏灵敏度,特别是在早期放松时.
研究的目的:
- 开发和验证一种使用振动和速度信号检测和评估螺栓松动的新方法.
- 为了建立信号特征和螺栓松动程度之间的定量关系.
主要方法:
- 使用Chirp Fourier转换 (CFT) 来获得健康和松散螺栓连接的频谱曲线.
- 从频谱比率定义和计算绝对频谱比率 (SCASR) 的总和系数.
- 建立SCASR和共振峰值频率转移之间的线性关系,用于定量分析.
主要成果:
- 在SCASR和共振峰值频率转移之间发现了线性相关性.
- 拟议的方法有效地检测螺栓松动,包括早期阶段,使用低频三轴数据.
- 实验验证证了该方法在识别松严重性的有效性.
结论:
- 该SCASR技术提供了一种可靠和敏感的方法来检测螺栓松动.
- 该方法提供了一个标准化的指数,用于评估螺栓完整性和预测潜在的故障.
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