Imbalance fault detection in BLDC motors through audio signals using the density of maxima and CNN-Reference-Cited by-同舟云学术

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Imbalance fault detection in BLDC motors through audio signals using the density of maxima and CNN

Published:2023-11-21 Issue: Volume: Page:
ISSN:
Container-title:2023 XIII Brazilian Symposium on Computing Systems Engineering (SBESC)
language:
Short-container-title:

Author:

Gouveia Yuri C.¹,Brito Alisson V.²,Nascimento Tiago P.²,Ramos Jorge Gabriel³,Filho Abel Lima⁴

Affiliation:

1. Universidade Federal da Paraiba,Graduate Program in Informatics,Joao Pessoa,Brazil

2. Universidade Federal da Paraiba,Laboratory of System Engineering and Robotics,Joao Pessoa,Brazil

3. Universidade Federal da Paraiba,Department of Physics,Joao Pessoa,Brazil

4. Universidade Federal da Paraiba,Department of Mechanical Engineering,Joao Pessoa,Brazil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10323601/10324003/10324004.pdf?arnumber=10324004

Reference21 articles.

1. A sound based method for fault detection with statistical feature extraction in UAV motors

2. An Audio-Based Fault Diagnosis Method for Quadrotors Using Convolutional Neural Network and Transfer Learning

3. A novel procedure for the identification of chaos in complex biological systems;bazeia;Scientific Reports,2017

4. A novel approach for speed and failure detection in brushless dc motors based on chaos;medeiros;IEEE Transactions on Industrial Electronics,2018

5. Understanding of a convolutional neural network

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