一种基于分数线性预测的当前噪声取消方法,用于轴承故障检测
1School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China.
Sensors (Basel, Switzerland)
|January 11, 2024
概括
分数线性预测 (FLP) 有效地消除了感应电机定子电流信号的噪声,改善了轴承故障检测. 与传统技术相比,这种方法提高了故障特征提取和预测性能.
科学领域:
- 电气工程 电气工程
- 机械工程 机械工程
- 信号处理 信号处理
背景情况:
- 感应电机中的静止电流含有噪声,妨碍了准确的轴承故障检测.
- 电流信号中的噪音可以导致电机轴承故障诊断中的错误报警.
- 有效的轴承故障检测需要消除噪声组件.
研究的目的:
- 提出和评估分数线性预测 (FLP) 作为用于感应电机轴承故障诊断的消除噪声方法.
- 为了降低噪声减噪的参数优化中的计算复杂性.
- 将FLP与线性预测 (LP) 和时间转移 (TS) 等现有方法进行比较.
主要方法:
- 使用分数线性预测 (FLP) 来区分可预测的噪音和不可预测的故障信息.
- 实施FLP模型,使用有限的内存样本来降低计算复杂度.
- 将FLP与LP和TS方法进行比较,使用对实验电流信号的光谱分析.
主要成果:
- 与LP和TS相比,FLP方法显示出更好的断层特征提取.
- 实验数据证实了FLP增强的预测性能和降噪能力.
- 在轴承故障诊断方面,FLP取得了更好的总体结果.
结论:
- 分数线性预测 (FLP) 是在轴承故障诊断中消除噪声的有效和优质方法.
- FLP为电机故障检测提供了更高的准确性和更低的计算复杂性.
- FLP方法在预测性能和降噪方面显示出显著的优势.
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