CN115759352A - 基于多源域类分离对抗网络的变工况机械故障诊断方法 - Google Patents
基于多源域类分离对抗网络的变工况机械故障诊断方法 Download PDFInfo
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Abstract
Description
任务 | 源域 | 目标域 |
T1 | 工况0,工况1,工况2 | 工况3 |
T2 | 工况1,工况2,工况3 | 工况0 |
T3 | 工况0,工况2,工况3 | 工况1 |
T4 | 工况0,工况1,工况3 | 工况2 |
任务 | T1 | T2 | T3 | T4 | 平均 |
本发明 | 0.9933 | 0.9917 | 0.9967 | 0.9983 | 0.9949 |
TCA | 0.7433 | 0.7283 | 0.7450 | 0.6800 | 0.7200 |
JDA | 0.7467 | 0.7550 | 0.7383 | 0.7183 | 0.7396 |
BDA | 0.7233 | 0.7717 | 0.8333 | 0.8333 | 0.7904 |
DDC | 0.9792 | 0.8858 | 0.9692 | 0.9725 | 0.9517 |
D-CORAL | 0.9758 | 0.9133 | 0.9 | 0.9808 | 0.9635 |
DAN | 0.9767 | 0.9508 | 0.9808 | 0.9750 | 0.9708 |
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CN202211321649.4A CN115759352A (zh) | 2022-10-26 | 2022-10-26 | 基于多源域类分离对抗网络的变工况机械故障诊断方法 |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116756483A (zh) * | 2023-05-08 | 2023-09-15 | 苏州大学 | 目标工况数据不可用下的机械故障诊断方法、装置及设备 |
CN117871101A (zh) * | 2024-03-11 | 2024-04-12 | 四川大学 | 多分类器细粒度的轴承故障诊断领域自适应方法及系统 |
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- 2022-10-26 CN CN202211321649.4A patent/CN115759352A/zh active Pending
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116756483A (zh) * | 2023-05-08 | 2023-09-15 | 苏州大学 | 目标工况数据不可用下的机械故障诊断方法、装置及设备 |
CN117871101A (zh) * | 2024-03-11 | 2024-04-12 | 四川大学 | 多分类器细粒度的轴承故障诊断领域自适应方法及系统 |
CN117871101B (zh) * | 2024-03-11 | 2024-05-10 | 四川大学 | 多分类器细粒度的轴承故障诊断领域自适应方法及系统 |
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