Extreme-low-speed heavy load bearing fault diagnosis by using improved repvgg and acoustic emission signals

HIGHLIGHTS

• who: Peng Jiang and colleagues from the School of Mechanical Science and Engineering, Northeast Petroleum University, Daqing, China have published the article: Extreme-Low-Speed Heavy Load Bearing Fault Diagnosis by Using Improved RepVGG and Acoustic Emission Signals, in the Journal: Sensors 2023, 23, x FOR PEER REVIEW achieve Sensors Sensors 2023, 2023, 23, 23, xx FOR FOR PEER PEER REVIEW REVIEW of /2023/
• what: In this study, a DL method was designed for AE signals for extreme-low-speed heavy load bearings for the use of large-sized bearings in industrial wind turbines.
 



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