GA-OIHF Elman Neural Network Algorithm for Fault Diagnosis of Full Life Cycle of Rolling Bearing

GA-OIHF Elman Neural Network Algorithm for Fault Diagnosis of Full Life Cycle of Rolling Bearing

For the fault diagnosis needs of the full life cycle (light degradation, moderate degradation, and severe degradation) of rolling bearing under the environment of high background noise, a genetic algorithm-output input hidden feedback (GA-OIHF ) Elman neural network model is proposed to achieve prec...

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Bibliographic Details
Main Author: ZHUO Pengcheng, YAN Jin, ZHENG Meimei, XIA Tangbin, XI Lifeng
Format: Article
Language:zho
Published: Editorial Office of Journal of Shanghai Jiao Tong University 2021-10-01
Series:Shanghai Jiaotong Daxue xuebao
Subjects:
rolling bearing
genetic algorithm
elman neural network
ensemble empirical mode decomposition (eemd)
full life cycle
Online Access:http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-10-1255.shtml

Internet

http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-10-1255.shtml

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