An Investigation Into the Behavior of Intelligent Fault Diagnostic Models Under Imbalanced Data-Reference-Cited by-同舟云学术

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An Investigation Into the Behavior of Intelligent Fault Diagnostic Models Under Imbalanced Data

Published:2024 Issue: Volume:73 Page:1-20
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Ren Zhijun¹^ORCID,Ji Jinchen²^ORCID,Zhu Yongsheng¹^ORCID,Feng Ke³^ORCID

Affiliation:

1. Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi'an Jiaotong University, Xi'an, China

2. School of Mechanical and Mechatronic Engineering, University of Technology Sydney, Ultimo, NSW, Australia

3. School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10363659.pdf?arnumber=10363659

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DPMSLM Eccentricity Fault Detection Based on Multiview of Mystery Curve Transformation and Deep Feature Extraction;IEEE Sensors Journal;2024-06-01

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