Ensemble Based Real-Time Adaptive Classification System for Intelligent Sensing Machine Diagnostics-Reference-Cited by-同舟云学术

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Ensemble Based Real-Time Adaptive Classification System for Intelligent Sensing Machine Diagnostics

Published:2012-06 Issue:2 Volume:61 Page:303-313
ISSN:0018-9529
Container-title:IEEE Transactions on Reliability
language:
Short-container-title:IEEE Trans. Rel.

Author:

Nguyen Minh Nhut,Bao Chunyu,Tew Kar Leong,Teddy Sintiani Dewi,Li Xiao-Li

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx5/24/6205712/06198746.pdf?arnumber=6198746

Cited by 15 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. A composite learning approach for multiple fault diagnosis in gears;Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability;2022-11-05

2. A Weakly Supervised Learning-Based Oversampling Framework for Class-Imbalanced Fault Diagnosis;IEEE Transactions on Reliability;2022-03

3. A Novel Adaptive Undersampling Framework for Class-Imbalance Fault Detection;IEEE Transactions on Reliability;2022

4. Reliability Optimization Deploymentof Complex Electromechanical Equipment Based on Multi-objective Optimization Algorithm;2021 3rd International Conference on System Reliability and Safety Engineering (SRSE);2021-11

5. Structured approach to downsize data administration and improve fault recognition accuracy for large power systems;IET Generation, Transmission & Distribution;2020-05-14

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