Prediction of rotor slot width in induction motor using Dyadic wavelet transform and softmax regression
Author:
Affiliation:
1. Department of EEE , Saveetha Engineering College , Chennai , India
2. Department of CSE , AMS College of Engineering , Chennai , India
3. Department of EEE , Ponjesly College of Engineering , Nagercoil , India
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Energy Engineering and Power Technology
Link
https://www.degruyter.com/document/doi/10.1515/ijeeps-2022-0214/pdf
Reference25 articles.
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2. Djurovic, S, Crabtree, CJ, Tavner, PJ, Smith, AC. Condition monitoring of wind turbine induction generators with rotor electrical asymmetry. IET Renew Power Gener 2012;6:207. https://doi.org/10.1049/iet-rpg.2011.0168.
3. Salles, G, Filippetti, F, Tassoni, C, Crellet, G, Franceschini, G. Monitoring of induction motor load by neural network techniques. IEEE Trans Power Electron 2000;15:762–8. https://doi.org/10.1109/63.849047.
4. Ebrahimi, BM, Javan Roshtkhari, M, Faiz, J, Khatami, SV. Advanced eccentricity fault recognition in permanent magnet synchronous motors using stator current signature analysis. IEEE Trans Ind Electron 2014;61:2041–52. https://doi.org/10.1109/TIE.2013.2263777.
5. Thomson, WT, Fenger, M. Current signature analysis to detect induction motor faults. IEEE Ind Appl Mag 2001;7:26–34. https://doi.org/10.1109/2943.930988.
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