Deep residual learning-based fault diagnosis method for rotating machinery

ISA Transactions - Tập 95 - Trang 295-305 - 2019
Zhang We1, Xiang Li2,3, Qian Ding4
1School of Aerospace Engineering, Shenyang Aerospace University, Shenyang, 110136, China
2College of Sciences, Northeastern University, Shenyang 110819, China
3Key Laboratory of Vibration and Control of Aero-Propulsion System Ministry of Education, Northeastern University, Shenyang 110819, China
4Department of Mechanics, Tianjin University, Tianjin 300072, China

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