Fault detection and classification in kinematic chains by means of PCA extraction-reduction of features from thermographic images-Reference-Cited by-同舟云学术

Fault detection and classification in kinematic chains by means of PCA extraction-reduction of features from thermographic images

Published:2022-06 Issue: Volume:197 Page:111340
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Alfredo Osornio-Rios Roque,Yosimar Jaen-Cuellar Arturo,Ivan Alvarado-Hernandez Alvaro,Zamudio-Ramirez Israel,Armando Cruz-Albarran Irving,Alfonso Antonino-Daviu Jose

Funder

Consejo Nacional de Ciencia y Tecnología

Publisher

Elsevier BV

Subject

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

Reference34 articles.

1. Emerging Electric Machines and Drives — An Overview;Liu;IEEE Trans. Energy Convers.,2018

2. Fault detection in induction motors and the impact on the kinematic chain through thermographic analysis;Garcia-Ramirez;Electr. Power Syst. Res.,2014

3. Condition Monitoring and Fault Diagnosis of Induction Motors: A Review;Choudhary;Arch. Comput. Methods Eng.,2019

4. Infrared thermography based diagnosis of the impact on the kinematic chain;Jeffali;Proceedings of Mater. Today,2019

5. An Approach on MCSA-Based Fault Detection Using Independent Component Analysis and Neural Networks;Garcia-Bracamonte;IEEE Trans. Instrum. Meas.,2019

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