基于SimAM和自适应权衡策略的轴承故障诊断的域调整
Ziyi Tang1,2, Xinhao Hou1,2, Xinheng Huang3,2
1School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300384, China.
Sensors (Basel, Switzerland)
|July 13, 2024
概括
这项研究介绍了CWT-SimAM-DAMS,这是一种用于轴承故障诊断的新型域适应方法. 它有效地解决了数据分布的差异,在复杂条件下显著提高了诊断准确性.
科学领域:
- 机械工程 机械工程
- 人工智能的人工智能
- 信号处理 信号处理
背景情况:
- 域调整对于轴承故障诊断至关重要,因为不同的操作条件会导致数据分布差异.
- 传输故障诊断与复杂的条件,分散的数据和显著的分布差异作斗争.
研究的目的:
- 提出CWT-SimAM-DAMS,一种域调整方法,提高轴承故障诊断的准确性.
- 在故障诊断中有效地减少源域和目标域之间的分布差异.
主要方法:
- 使用连续波形变换 (CWT) 和不清晰掩盖 (USM) 来进行数据预处理.
- 使用一个剩余网络 (ResNet) 与SimAM模块用于特征提取.
- 与联合最大平均差异 (JMMD) 和条件对抗域适应网络 (CDAN) 算法集成了一个自适应权重策略.
主要成果:
- 拟议的CWT-SimAM-DAMS方法在轴承故障诊断方面显示出更高的准确性.
- 在两个数据集上的实验验证证证了该方法在增强域名适应性的有效性.
结论:
- 在具有挑战性的域移动下,CWT-SimAM-DAMS为轴承故障诊断提供了强大的解决方案.
- 适应权重策略和SimAM集成有效地弥合了分布差距,提高了诊断性能.
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