A Novel Ensemble Learning-Based Multisensor Information Fusion Method for Rolling Bearing Fault Diagnosis-Reference-Cited by-同舟云学术

A Novel Ensemble Learning-Based Multisensor Information Fusion Method for Rolling Bearing Fault Diagnosis

Published:2023 Issue: Volume:72 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Tong Jinyu¹^ORCID,Liu Cang²^ORCID,Bao Jiahan²^ORCID,Pan Haiyang²^ORCID,Zheng Jinde²^ORCID

Affiliation:

1. School of Mechanical Engineering and the Anhui Province Engineering Laboratory of Intelligent Demolition Equipment, Anhui University of Technology, Ma’anshan, China

2. School of Mechanical Engineering, Anhui University of Technology, Ma’anshan, China

Funder

National Natural Science Foundation of China

Open Project of Anhui Province Engineering Laboratory of Intelligent Demolition Equipment

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/09968220.pdf?arnumber=9968220

Reference37 articles.

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2. Decision fusion scheme for bearing defects diagnosis in induction motors

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5. Deep Residual Shrinkage Networks for Fault Diagnosis

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