Abstract: Noting that single mode fault diagnosis methods have limitations in complex fault detection, and single fault diagnosis models have low accuracy and robustness, this article proposes a ...
Conan is a novel fuzzing-driven fault injection approach which can effectively generate fault sequences and reveal consensus issues in distributed databases. We observe that state changes improve the ...
Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...
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