Recognition of Acoustic Emission Signal based on the Algorithms of TDNN and GMM-Reference-Cited by-同舟云学术

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Recognition of Acoustic Emission Signal based on the Algorithms of TDNN and GMM

Published:2014-03-01 Issue:2 Volume:8 Page:907-916
ISSN:1935-0090
Container-title:Applied Mathematics & Information Sciences
language:
Short-container-title:Appl. Math. Inf. Sci.

Author:

Deng Aidong,Cao Hao,Tong Hang,Zhao Li,Qin Kang,Yan Xi

Publisher

Natural Sciences Publishing

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Analysis

Cited by 6 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. Acoustic Emission Recognition Based on a Three-Streams Neural Network with Attention;Computer Systems Science and Engineering;2023

2. Experimental Investigation on the Performance of Signal Processing Tools for the Analysis of Mechanical Vibrations in Rotor Rubbing;International Journal of Applied Mechanics;2021-03

3. A rub fault recognition method based on generative adversarial nets;Journal of Mechanical Science and Technology;2020-04

4. A Rub-impact Recognition Method Based on Improved Convolutional Neural Network;Computers, Materials & Continua;2020

5. Acoustic Emission Recognition Based On A Two-Streams Convolutional Neural Network;Computers, Materials & Continua;2020

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