动态分析和故障检测应用时间延迟的多稳定的随机共振系统,由白色相关噪声驱动
Yantong Liu1,2, Shaojuan Ma3,4,5
1School of Mathematics and Information Science, North Minzu University, Yinchuan, 750021, China.
Scientific reports
|October 21, 2024
概括
这项研究引入了一种新的延时多稳定的随机共振系统,用于增强轴承故障诊断. 拟议的方法有效地克服噪声干扰,与现有系统相比,提高了故障检测准确度.
科学领域:
- 机械工程 机械工程
- 信号处理 信号处理
- 非线性动力学是一种非线性动力学.
背景情况:
- 轴承故障诊断对于机器的运行和安全至关重要.
- 信号中的噪音干扰妨碍了有效的轴承故障检测.
- 随机共振 (SR) 为信号增强提供了一个潜在的解决方案.
研究的目的:
- 为改进轴承故障诊断提出一个时间延迟多稳定的随机共振系统.
- 分析系统的动态行为和参数影响.
- 评估系统的性能与现有的SR方法相比.
主要方法:
- 开发一个由白色相关噪声驱动的时间延迟多稳定的随机共振系统.
- 稳定状态概率密度 (SPD) 和平均第一次通道时间 (MFPT) 表达式的推导.
- 分析系统参数 (噪声强度,时间延迟,反) 以及它们对信号与噪声比 (SNR) 的影响.
主要成果:
- 该研究为拟议系统推导了SPD和MFPT表达式.
- 系统参数显著影响随机共振现象和SNR.
- 拟议的时延多稳定SR系统表现出比双稳定和四稳定SR系统更好的故障检测.
结论:
- 开发的时延多稳定SR系统通过减轻噪声干扰来有效地提高轴承故障诊断.
- 参数优化对于最大化SR效应和提高检测精度至关重要.
- 这种新的方法为可靠的机械健康监测提供了一个有希望的解决方案.
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