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DRN-PISSM: a pitch bearing fault diagnosis network integrating dilated residual convolution and a Physics-Informed State-Space model
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AI
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Z
张
K
李
DOI：10.1016/j.ymssp.2026.114787.png)
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Abstract
En 中文
• DRN-PISSM is proposed for robust pitch bearing fault diagnosis. • Fault-frequency priors are embedded into state-space recurrence. • Adaptive gated fusion balances data-driven and physics-informed features. • Physical consistency and noise invariance improve robustness.
Keywords:
Pitch bearing
Physics-informed deep learning
State-space model
Fault diagnosis
Journal
IF:
8.9
Papers:
1.2W
Citations:
6.6W
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