zSlices-Based General Type-2 Fuzzy Fusion of Support Vector Machines With Application to Bearing Fault Detection-Reference-Cited by-同舟云学术

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zSlices-Based General Type-2 Fuzzy Fusion of Support Vector Machines With Application to Bearing Fault Detection

Published:2017-09 Issue:9 Volume:64 Page:7210-7217
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Hassani Hossein,Zarei Jafar,Arefi Mohammad Mehdi,Razavi-Far Roozbeh

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/41/8006337/07888980.pdf?arnumber=7888980

Cited by 44 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. Photovoltaic Panel Defect Detection via Multiscale Siamese Convolutional Fusion Network With Information Bottleneck Theory;IEEE Transactions on Instrumentation and Measurement;2024

2. Novel Preprocessing and Data Augmentation Method for Bearing Fault Diagnosis;2023 3rd International Conference on Electrical Machines and Drives (ICEMD);2023-12-20

3. An interval type-3 fuzzy PID control system design and its application in solid oxide fuel cells power plant;Journal of Intelligent & Fuzzy Systems;2023-12-02

4. Multilevel feature fusion of multi-domain vibration signals for bearing fault diagnosis;Signal, Image and Video Processing;2023-08-16

5. A Non-Iterative Reasoning Algorithm for Fuzzy Cognitive Maps based on Type 2 Fuzzy Sets;Information Sciences;2023-04

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