Research on Electromagnetic Acoustic Emission Signal Recognition Based on Local Mean Decomposition and Least Squares Support Vector Machine

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.net/journal/jcc
E-mail: [email protected]

Citations

"Research on Electromagnetic Acoustic Emission Signal Recognition Based on Local Mean Decomposition and Least Squares Support Vector Machine"
written by Chenglong Yang, Yushu Lai, Qiuyue Li,
published by Journal of Computer and Communications, Vol.11 No.5, 2023

has been cited by the following article(s):

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[2]	Rail Crack Detection Using Optimal Local Mean Decomposition and Cepstral Information Coefficient Based on Electromagnetic Acoustic Emission Technology
	IEEE Transactions …, 2024

[3]	A Study of Electromagnetic Acoustic Emission Technology in Non-destructive Testing
	… and Internet of …, 2023

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[3]	Rail Crack Detection Using Optimal Local Mean Decomposition and Cepstral Information Coefficient Based on Electromagnetic Acoustic Emission Technology IEEE Transactions on Instrumentation and Measurement, 2024 DOI:10.1109/TIM.2024.3375420

[4]	EMAE-Based Rail Structural Health Monitoring Using Double-Layer Signal Processing and Spectrum Information Entropy IEEE Transactions on Intelligent Transportation Systems, 2024 DOI:10.1109/TITS.2024.3358390

[5]	A Study of Electromagnetic Acoustic Emission Technology in Non-destructive Testing 2023 2nd International Conference on Sensing, Measurement, Communication and Internet of Things Technologies (SMC-IoT), 2023 DOI:10.1109/SMC-IoT62253.2023.00012