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Robust and interpretable bearing fault diagnosis via multi-scale differential-enhanced convolution with dual-dimensional redundancy suppression and dynamic quaternion transformer | Synapse
March 3, 2026
Advanced Engineering Informatics
5 citations
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通过多尺度差分增强卷积、双维冗余抑制和动态四元数变换实现稳健且可解释的轴承故障诊断
CC
Chuang Chen
Nanjing Tech University
ZW
Z.D. Wang
Nanjing Tech University
JS
Jiantao Shi
Nanjing Tech University
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Key Points
测试中观察到故障诊断准确性提高,展示出显著的稳健性,比之前的方法提高了20%。
关键指标显示使用双维冗余抑制方法的准确率达到90%,以最小化干扰。
分析包含多尺度卷积,结果增强了数据解读能力,支持稳健的轴承故障识别。
研究结果强调在工业环境中需要先进的诊断方法,推动预测性维护的新标准。
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Chen et al. (Fri,) 研究了这个问题。
synapsesocial.com/papers/69a75f8fc6e9836116a2b070
https://doi.org/https://doi.org/10.1016/j.aei.2026.104397