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Adaptive filtering and multi-scale MixStyle network for cross-domain fault diagnosis of marine electric thruster bearings | Synapse
March 3, 2026
Adaptive filtering and multi-scale MixStyle network for cross-domain fault diagnosis of marine electric thruster bearings
CS
Chenxing Sheng
National Highway Traffic Safety Administration
MZ
Meng Zhang
Wuhan University of Technology
XR
Xiang Rao
National Highway Traffic Safety Administration
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Puntos clave
Improved fault diagnosis was observed with an advanced multi-scale MixStyle network, leading to enhanced accuracy.
The study demonstrated a reduction in classification errors by over 25% using adaptive filtering techniques.
Analysis employed a novel adaptive filtering approach across various marine environments and fault scenarios.
These findings underscore the potential for cross-domain applications in marine systems, though real-world validation is needed.
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Sheng et al. (Tue,) studied this question.
synapsesocial.com/papers/69a75b90c6e9836116a2311a
https://doi.org/https://doi.org/10.1016/j.ymssp.2026.113910