Fault Diagnosing for Electric Motors Based in Noise Data Classification Using Deep Learning-Reference-Cited by-同舟云学术

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Fault Diagnosing for Electric Motors Based in Noise Data Classification Using Deep Learning

Published:2022-11-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE ANDESCON
language:
Short-container-title:

Author:

Carrera Josue Davalos¹,Matute Paulette Vazquez¹,Pelaez Enrique¹,Loayza Francis R.²

Affiliation:

1. Escuela Superior Politécnica del Litoral - ESPOL University,Electricity and Computer Sciences Engineering Department,Guayaquil,Ecuador

2. Escuela Superior Politécnica del Litoral - ESPOL University,Mechanical and Production Sciences Engineering Department,Guayaquil,Ecuador

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9989530/9989521/09989522.pdf?arnumber=9989522

Reference17 articles.

1. ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection

2. Data augmentation approaches for improving animal audio classification

3. Audio spectrogram representations for processing with convolutional neural networks;wyse,2017

4. Electrical Monitoring under Transient Conditions: A New Paradigm in Electric Motors Predictive Maintenance

Cited by 3 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. Machine hearing for predictive maintenance of BLDC motors;Journal of Quality in Maintenance Engineering;2024-09-06

2. Machine Learning and Audio Signal Processing for Predictive Maintenance: A review;2023 IEEE 6th Colombian Conference on Automatic Control (CCAC);2023-10-17

3. Anomaly Localization in Audio via Feature Pyramid Matching;2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC);2023-06

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