Detection and classification of mechanical faults of three phase induction motor via pixels analysis of thermal image and adaptive neuro-fuzzy inference system-Reference-Cited by-同舟云学术

Detection and classification of mechanical faults of three phase induction motor via pixels analysis of thermal image and adaptive neuro-fuzzy inference system

Published:2020-03-07 Issue:5 Volume:12 Page:4619-4630
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Devarajan Gunapriya,Chinnusamy Muniraj,Kaliappan Lakshmi

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-020-01857-8.pdf

Reference26 articles.

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3. Garcia-Ramirez AG, Morales-Hernandez LA, Osornio-Rios RA, Benitez-Rangel JP, Garcia-Perez A, de Jesus Romero-Troncoso R (2014) Fault detection in induction motors and the impact on the kinematic chain through thermo graphic analysis. Electr Power Syst Res 114:1–9

4. Glowacz A, Glowacz Z (2016) Diagnostics of stator faults of the single-phase induction motor using thermal images, MoASoS and selected classifiers. Measurement 93:86–93

5. Glowacz A, Glowacz Z (2017) Diagnosis of the three-phase induction motor using thermal imaging. Infrared Phys Technol 81:7–16

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