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Congbo Li

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Supervisor of Doctorate Candidates  
Supervisor of Master's Candidates  

Paper Publications

A novel fault diagnosis method based on multi-level information fusion and hierarchical adaptive convolutional neural networks for centrifugal blowers

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DOI number:10.1016/j.measurement.2021.109970

Journal:Measurement

Co-author:Congbo Li,Rui Wang,Jing Qian

Document Code:109970

Volume:185

Translation or Not:no

Date of Publication:2021-10-22

Included Journals:SCI、EI

Pre One:Reinforcement learning-based selective disassembly sequence planning for the end-of-life products with structure uncertainty

Next One:Heat dissipation analysis and multi-objective optimization of a permanent magnet synchronous motor using surrogate assisted method

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