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耿国盛
Associate Professor
Supervisor of Master's Candidates
School/Department: College of Engineering
Education Level:With Certificate of Graduation for Doctorate Study
Degree:Doctoral Degree in Engineering
Professional Title:
Associate Professor
Alma Mater:
南京航空航天大学
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Paper Publications
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Paper Publications
Remaining Useful Life Prediction and Fault Diagnosis of Rolling Bearings Based on Short-Time Fourier Transform and Convolutional Neural Network
Release time:2024-01-02
Hits:
Impact Factor:
1.767
Affiliation of Author(s):
工学院
Journal:
SHOCK AND VIBRATION
Co-author:
周爽,肖茂华,Bartos Petr,Filp Martin,耿国盛
Document Code:
rk0n19p53jkpimcj220ot5iq6tmslekr
Volume:
2020
Page Number:
-
Translation or Not:
no
Date of Publication:
2020-01-01
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Fault diagnosis of rolling bearing based on back propagation neural network optimized by cuckoo search algorithm
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Bearing fault feature extraction method based on complete ensemble empirical mode decomposition with adaptive noise