一种改进的双可测的随机共振方法及其在早期轴承故障诊断中的应用
Yonghui Zhao1,2, Anqi Jiang3, Wanlu Jiang4,5
1Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control, Yanshan University, Qinhuangdao, 066004, China.
Scientific reports
|July 2, 2025
概括
这项研究引入了一种使用改进的随机共振 (SR) 进行轴承故障诊断的新方法. 该技术增强了弱故障信号,大大提高了诊断准确性和特征识别能力.
科学领域:
- 机械工程 机械工程
- 信号处理 信号处理
背景情况:
- 随机共振 (SR) 在轴承故障诊断中有效地增强弱故障特征.
- 经典双稳定静态共振 (CBSR) 在参数调和输出和方面存在局限性.
研究的目的:
- 为提高轴承故障诊断提出了一种改进的断片不和双稳定静态共振 (PUBSR) 方法.
- 解决CBSR方法的输出和和参数调整问题.
主要方法:
- 使用不对称的电位函数来缓解输出和.
- 搜索 (CS) 算法用于优化潜在的函数参数.
- 使用模拟和真实世界的轴承故障数据验证了PUBSR方法.
主要成果:
- PUBSR方法显著改善了特征频率的提取.
- 与CBSR方法相比,光谱峰值增加了一倍多.
- 提高了故障特征的识别能力,提高了诊断准确度.
结论:
- 拟议的PUBSR方法为早期轴承故障诊断提供了一种优越的方法.
- PUBSR有效地克服了CBSR的局限性,导致更可靠的故障检测.
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