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induction machine (keyword)
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1
book article
Active and reactive power control of DFIG using optimized fractional order-PI controller
Javed, Umar
;
Arshad, Muhammad Asad
;
Shabbir, Noman
;
Kütt, Lauri
;
Rassõlkin, Anton
2021 IEEE 19th International Power Electronics and Motion Control Conference, The Silesian University of Technology Gliwice, Poland, 25 - 29 April, 2021 (PEMC) : proceedings
2021
/
p. 398-404
https://doi.org/10.1109/PEMC48073.2021.9432608
book article
2
journal article
Contribution of Maxwell stress in air on the deformations of induction machines
Fonteyn, Katarzyna Anna
;
Belahcen, Anouar
;
Rasilo, Paavo
;
Kouhia, Reijo
;
Arkkio, Antero
Journal of electrical engineering and technology
2012
/
p. 336-341 : ill
https://ieeexplore.ieee.org/document/5664487
journal article
3
journal article
Generation of unmeasured loading levels data for condition monitoring of induction machine using machine learning
Billah, Md Masum
;
Saberi, Alireza Nemat
;
Hemeida, Ahmed
;
Martin, Floran
;
Kudelina, Karolina
;
Asad, Bilal
;
Naseer, Muhammad Usman
;
Mukherjee, Victor
;
Belahcen, Anouar
IEEE transactions on magnetics
2024
/
art. 8201104
https://doi.org/10.1109/TMAG.2023.3312267
journal article
4
book article
Park's vector approach for detection of broken rotor bars in frequency converter fed induced generator
Vaimann, Toomas
;
Belahcen, Anouar
;
Martinez, Javier
;
Kilk, Aleksander
Proceedings of the 13th International Scientific Conference Electric Power Engineering 2012 : EPE 2012 : Brno. Vol. 2
2012
/
p. 985-988 : ill
https://www.academia.edu/17399045/Parks_Vector_Approach_for_Detection_Broken_Rotor_Bars_in_Frequency_Converter_Fed_Induction_Generator
book article
5
book article EST
/
book article ENG
Synthetic Data-Driven Detection of Broken Rotor Bars in Induction Machines Under Adjusted Noise Level
Nuha, Nurjahan Amin
;
Siddik Injam, Md Tanbir
;
El Bouharrouti, Nada
;
Hemeida, Ahmed
;
Kudelina, Karolina
;
Naseer, Usman Muhammad
;
Belahcen, Anouar
2025 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)
2025
/
6 p
https://doi.org/10.1109/WEMDCD61816.2025.11014141
book article EST
/
book article ENG
6
book article
Vibration and stator current spectral analysis of induction machine operating under dynamic eccentricity
Sobra, Jan
;
Belahcen, Anouar
;
Vaimann, Toomas
2015 International Conference on Electrical Drives and Power Electronics (EDPE) : 18th International Conference, 7th Joint Slovakian-Croatian Conference : proceedings : Hotel Slovan, Tatranska Lomnica, The High Tatras, Slovakia, September 21-23, 2015
2015
/
p. 285-290 : ill
http://dx.doi.org/10.1109/EDPE.2015.7325307
book article
Number of records 6, displaying
1 - 6
keyword
113
1.
induction machine
2.
induction machines
3.
machine-to-machine communications
4.
asymmetric induction
5.
backward-induction
6.
centrifugal induction casting
7.
core-less induction furnace
8.
Doubly fed induction generator
9.
induction
10.
induction brazing
11.
induction generator
12.
induction motor
13.
induction motors
14.
induction sensors
15.
inverter-fed induction motor
16.
linear induction motor
17.
magnetic induction
18.
Magnetic induction monitoring
19.
magnetic induction sensing
20.
magnetic induction sensor
21.
open induction
22.
single-phase induction motor
23.
six-phase induction motor
24.
six-phase induction motor (6PIM)
25.
AC machine
26.
adversarial machine learning
27.
adversarial machine-learning
28.
Algorithmic State Machine - ASM
29.
automatic machine learning (autoML)
30.
axial flux machine
31.
axial flux switched reluctance machine
32.
bearingless machine
33.
brushless machine
34.
coordinate measurring machine
35.
electric machine
36.
electric machine analysis computing
37.
electric machine control
38.
electrical machine
39.
electrical machine cooling
40.
electrical machine design
41.
finite state machine
42.
Finite State Machine - FSM
43.
graph machine learning
44.
hierarchical finite state machine
45.
high-frequency machine modeling
46.
human machine interaction
47.
human machine systems
48.
human-machine interaction
49.
human-machine interactions
50.
human-machine interface
51.
human-machine system
52.
interior permanent magnet machine
53.
interior permanent-magnet synchronous machine (IPMSM)
54.
interpretable machine learning
55.
logic machine
56.
low-resource machine translation
57.
machine bearings
58.
machine condition monitoring
59.
machine control
60.
machine design
61.
machine elements
62.
machine error
63.
machine housing
64.
machine learning
65.
machine learning (ML)
66.
machine learning algorithms
67.
machine learning approach
68.
Machine Learning Explainable model
69.
machine learning for environmental applications
70.
machine learning models
71.
machine learning systems
72.
machine tools
73.
machine translation
74.
machine vector control
75.
machine windings
76.
machine vision
77.
machine-checked proofs
78.
machine-learning
79.
machine-learning predictive model
80.
machine-translation
81.
man-machine systems
82.
massive machine type communication (mMTC)
83.
massive machine-type communication (mMTC)
84.
massive machine-type communications (mMTC)
85.
massive Machine-Type connections (mMTC)
86.
multi-class support vector machine (m-SVM)
87.
multi-machine
88.
multi-machine industrial power plant
89.
multi-machine power system
90.
multi-stream interaction machine
91.
neural machine translation
92.
outer-rotor machine
93.
Parkinson’s disease machine learning
94.
permanent magnet (PM) synchronous machine
95.
permanent magnet flux-switching machine
96.
permanent magnet machine
97.
permanent magnet synchronous machine (PMSM)
98.
reluctance machine
99.
robust machine learning
100.
sewing machine operator
101.
small data machine learning
102.
state machine
103.
supervised machine learning
104.
support vector machine
105.
surface permanent magnet machine (SPM)
106.
switched reluctance machine
107.
switched reluctance machine (SRM)
108.
synchronous machine
109.
TBM (tunnel boring machine)
110.
totally enclosed fan-cooled machine
111.
universal friction machine
112.
unsupervised machine learning
113.
virtual synchronous machine
author
1
1.
ELIXIR Machine Learning Focus Group
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