A Study on the Effectiveness of Current Data in Motor Mechanical Fault Diagnosis Using XAI
Author:
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.
1. Mehala N, Dahiya R (2007) Motor current signature analysis and its applications in induction motor fault diagnosis. Int J Syst Appl Eng Dev 2(1):29–35
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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2. Motor Fault Diagnostics Based on Current Signatures: A Review;IEEE Transactions on Instrumentation and Measurement;2023
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