A novel simulation-assisted transfer method for bearing unknown fault diagnosis
Fengfei Huang,
Xianxin Li,
Kai Zhang
et al.
Abstract:Supervised data-driven bearing fault diagnosis methods rely on completed datasets of faults, which can be challenging for signals collected in real engineering. Recognizing unknown faults using a data-driven approach is particularly difficult, as purposefully modeling these faults is complex. To address this challenge, this study proposes a new simulation-assisted transfer bearing unknown fault diagnosis method for realizing unknown compound fault diagnosis of rotating machinery. Firstly, finite element method… Show more
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