A Study on the Effectiveness of Current Data in Motor Mechanical Fault Diagnosis Using XAI-Reference-Cited by-同舟云学术

A Study on the Effectiveness of Current Data in Motor Mechanical Fault Diagnosis Using XAI

Published:2022-08-18 Issue: Volume: Page:
ISSN:1975-0102
Container-title:Journal of Electrical Engineering & Technology
language:en
Short-container-title:J. Electr. Eng. Technol.

Author:

Han Ji-Hoon,Park Sang-Uk,Hong Sun-Ki^ORCID

Funder

Korea Electric Power Corporation

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Link

https://link.springer.com/content/pdf/10.1007/s42835-022-01207-y.pdf

Reference13 articles.

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2. Jin X et al (2013) Motor bearing fault diagnosis using trace ratio linear discriminant analysis. IEEE Trans Ind Electron 61(5):2441–2451

3. Alwodai A et al (2013) A study of motor bearing fault diagnosis using modulation signal bispectrum analysis of motor current signals. J Signal Inf Process 4(03):72

4. Jin X et al (2016) A comparative study on vibration-and current-based approaches for drivetrain gearbox fault diagnosis. In: 2016 IEEE industry applications society annual meeting. IEEE

5. Toma RN, Prosvirin AE, Kim J-M (2020) Bearing fault diagnosis of induction motors using a genetic algorithm and machine learning classifiers. Sensors 20(7):1884

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