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Kudelina, Karolina (author)
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51
journal article EST
/
journal article ENG
Signal spectrum-based machine learning approach for fault prediction and maintenance of electrical machines
Raja, Hadi Ashraf
;
Kudelina, Karolina
;
Asad, Bilal
;
Vaimann, Toomas
;
Kallaste, Ants
;
Rassõlkin, Anton
;
Khang, Huynh Van
Energies
2022
/
art. 9507
https://doi.org/10.3390/en15249507
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
Seotud publikatsioonid
1
IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks
52
book article
Spectrum analysis additional vibrations of Cartesian robot by different control modes
Autsou, Siarhei
;
Vaimann, Toomas
;
Rassõlkin, Anton
;
Kudelina, Karolina
2022 18th Biennial Baltic Electronics Conference (BEC)
2022
/
5 l.
https://doi.org/10.1109/BEC56180.2022.9935595
book article
53
journal article EST
/
journal article ENG
State-of-the-Art techniques for fault diagnosis in electrical machines: Advancements and future directions
Akbar, Siddique
;
Vaimann, Toomas
;
Asad, Bilal
;
Kallaste, Ants
;
Sardar, Muhammad Usman
;
Kudelina, Karolina
Energies
2023
/
Art. 6345
https://doi.org/10.3390/en16176345
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
54
journal article
Study of bearing currents in induction machine : diagnostic possibilities, fault detection, and prediction
Kudelina, Karolina
;
Raja, Hadi Ashraf
;
Naseer, Muhammad Usman
;
Autsou, Siarhei
;
Asad, Bilal
;
Vaimann, Toomas
;
Kallaste, Ants
Electrical engineering
2024
/
14 p. : ill
https://doi.org/10.1007/s00202-024-02411-x
journal article
Seotud publikatsioonid
1
Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil
55
journal article EST
/
journal article ENG
Transient modeling and recovery of non-stationary fault signature for condition monitoring of induction motors
Asad, Bilal
;
Vaimann, Toomas
;
Belahcen, Anouar
;
Kallaste, Ants
;
Rassõlkin, Anton
;
Ghahfarokhi, Payam Shams
;
Kudelina, Karolina
Applied sciences
2021
/
17 p. : ill
https://doi.org/10.3390/app11062806
Journal metrics at Scopus
Article at Scopus
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journal article EST
/
journal article ENG
56
journal article EST
/
journal article ENG
Trends and challenges in intelligent condition monitoring of electrical machines using machine learning
Kudelina, Karolina
;
Vaimann, Toomas
;
Asad, Bilal
;
Rassõlkin, Anton
;
Kallaste, Ants
;
Demidova, Galina
Applied sciences
2021
/
art. 2761, 19 p. : ill
https://doi.org/10.3390/app11062761
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
Seotud publikatsioonid
1
Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil
57
book article
The usage of fuzzy logic for detecting mechanical faults in gearboxes of robotic system
Autsou, Siarhei
;
Kudelina, Karolina
;
Vaimann, Toomas
;
Rassõlkin, Anton
2024 International Conference on Electrical Machines (ICEM)
2024
/
7 p
https://doi.org/10.1109/ICEM60801.2024.10700425
book article
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Kudelina, Karolina 1997
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