Signal processing and identification on the surface of Pinus massoniana Lamb. glulam using acoustic emission and improvement complete ensemble empirical mode decomposition with adaptive noise-Reference-Cited by-同舟云学术

Signal processing and identification on the surface of Pinus massoniana Lamb. glulam using acoustic emission and improvement complete ensemble empirical mode decomposition with adaptive noise

Published:2019-12 Issue: Volume:148 Page:106978
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Li Yang,Xu Feiyun

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference37 articles.

1. Parameter-identification investigations on the hysteretic Preisach model improved by the fuzzy least square support vector machine based on adaptive variable chaos immune algorithm;Jiaqiang;J. Low. Freq. Noise. Vib. Active,2017

2. Identification on rock and soil parameters for vibration drilling rock in metal mine based on fuzzy least square support vector machine;Zuo;J. Cent. South Univ.,2014

3. Tool condition monitoring for form milling of large parts by combining spindle motor current and acoustic emission signals;Uekita;Int. J. Adv. Manuf. Technol.,2017

4. Acoustic Emission tomography based on simultaneous algebraic reconstruction technique to visualize the damage source location in Q235B steel plate;Jiang;Mech. Syst. Signal Process.,2015

5. Classification identification of acoustic emission signals from underground metal mine rock by ICIMF classifier;Zuo;Math. Probl. Eng.,2014

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