基于编码器信号的优化Savitzky-Golay和自适应性频谱编辑,用于在低速和变速条件下提取滚动元件轴承的特性
1Key Lab. of Vib. & Noise under Ministry of Education of Yunnan Province, Kunming University of Science and Technology, Kunming 650500, China.
ISA transactions
|August 29, 2024
概括
这项研究引入了一种用于诊断不同速度运行的滚动元件轴承 (REB) 故障的新方法. 该方法利用编码器信号和先进的过技术来准确地提取特征和检测故障.
科学领域:
- 机械工程 机械工程
- 信号处理 信号处理
- 状态监控 状态监控
背景情况:
- 在变速条件下的滚动元件轴承 (REB) 的特征提取对于故障诊断具有挑战性.
- 编码器信号提供低噪声和与机器动态的直接相关性,使它们适合分析.
研究的目的:
- 为在低速和变速条件下开发REB特征提取的优化方法.
- 使用先进的信号处理技术准确检测REB故障.
主要方法:
- 利用编码器信号进行特征提取.
- 提出了一个优化的萨维茨基-戈莱 (SG) 过器和自适应频谱编辑.
- 引入了适应性SG过的多点平均比率指标和参数分解.
- 开发了一种适应性频谱编辑方案,结合了周期位移,高斯函数和皮尔森理论.
主要成果:
- 在变速条件下,成功地从REB中提取了特征.
- 使用自适应性SG过器,证明有效地去除速度趋势组件.
- 通过拟议的自适应频谱编辑方案实现了准确的REB故障检测.
结论:
- 拟议的方法有效地提取特征,并在变速条件下诊断滚动元件轴承的故障.
- 优化的SG过和自适应频谱编辑的组合为轴承故障诊断提供了强大的解决方案.
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