A Fault Detection Method for Railway Turnout with Convex Hull-based One-Class Tensor Machine-Reference-Cited by-同舟云学术

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A Fault Detection Method for Railway Turnout with Convex Hull-based One-Class Tensor Machine

Published:2023-05-22 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
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Author:

Chen Chen¹,Shao Haidong²,Xu Zhongwei¹,Huang Kai³,Chen Qiaochuan⁴,Mei Meng¹

Affiliation:

1. School of Electronic and Information Engineering, Tongji University,Shanghai,China

2. School of Mechanical and Vehicle Engineering, Hunan University,Changsha,China

3. School of Computer Engineering, Jimei University,Xiamen,China

4. School of Computer Engineering and Science, Shanghai University,Shanghai,China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10175865/10175876/10175943.pdf?arnumber=10175943

Reference22 articles.

1. Novel Joint Transfer Network for Unsupervised Bearing Fault Diagnosis From Simulation Domain to Experimental Domain

2. Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework

3. A Fault Detection Method for Railway Point Machine Operations Based On Stacked Autoencoders

4. Hybrid robust convolutional autoencoder for unsupervised anomaly detection of machine tools under noises

5. A semi-algebraic framework for approximate CP decompositions via simultaneous matrix diagonalizations (SECSI);roemer;Signal Processing,2013

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. Fault Diagnosis Method for Railway Turnout with Pinball Loss-Based Multiclass Support Matrix Machine;Applied Sciences;2023-11-15

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