Influence of One-Way ANOVA and Kruskal–Wallis Based Feature Ranking on the Performance of ML Classifiers for Bearing Fault Diagnosis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Microbiology (medical),Immunology,Immunology and Allergy
Link
https://link.springer.com/content/pdf/10.1007/s42417-023-01036-x.pdf
Reference66 articles.
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2. Malla C, Panigrahi I (2019) Review of condition monitoring of rolling element bearing using vibration analysis and other techniques. J Vib Eng Technol 7(4):407–414. https://doi.org/10.1007/s42417-019-00119-y
3. Ming AB, Zhang W, Qin ZY, Chu FL (2015) Dual-impulse response model for the acoustic emission produced by a spall and the size evaluation in rolling element bearings. IEEE Trans Ind Electron 62(10):6606–6615. https://doi.org/10.1109/TIE.2015.2463767
4. Duque-Perez O, Del Pozo-Gallego C, Morinigo-Sotelo D, Fontes Godoy W (2019) Condition monitoring of bearing faults using the stator current and shrinkage methods. Energies. https://doi.org/10.3390/en12173392
5. Lopez-Perez D, Antonino-Daviu J (2017) Application of infrared thermography to failure detection in industrial induction motors: case stories. IEEE Trans Ind Appl 53(3):1901–1908. https://doi.org/10.1109/TIA.2017.2655008
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