Gearbox faults severity classification using Poincaré plots of acoustic emission signals-Reference-Cited by-同舟云学术

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Gearbox faults severity classification using Poincaré plots of acoustic emission signals

Published:2024-03 Issue: Volume:219 Page:109918
ISSN:0003-682X
Container-title:Applied Acoustics
language:en
Short-container-title:Applied Acoustics

Author:

Medina Rubén^ORCID,Sánchez René-Vinicio,Cabrera Diego^ORCID,Cerrada Mariela^ORCID,Estupiñan Edgar,Ao Wengang,Vásquez Rafael E.^ORCID

Funder

Salesian Polytechnic University

Chongqing Technology and Business University

Publisher

Elsevier BV

Reference81 articles.

1. Vibration analysis & condition monitoring for rotating machines: a review;Vishwakarma;Mater Today Proc,2017

2. Early fault detection of planetary gearbox based on acoustic emission and improved variational mode decomposition;Liu;IEEE Sens J,2020

3. Artificial intelligence application in fault diagnostics of rotating industrial machines: a state-of-the-art review;Singh;J Intell Manuf,2023

4. Feature extraction of multi-sensors for early bearing fault diagnosis using deep learning based on minimum unscented Kalman filter;Tang;Eng Appl Artif Intell,2024

5. A review of gear fault diagnosis using various condition indicators;Sharma;Proc Eng,2016

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