Int J Syst Assur Eng Manag
 2017
DOI: 10.1007/s13198-017-0621-9
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Diagnosis of the combined rotor faults using air gap magnetic flux density spectrum for an induction machine

Abdellatif Seghiour
1
,
Tahar Seghier
2
,
Boubakeur Zegnini
3
et al.
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Cited by 7 publications
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References 54 publications
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A Deep Learning Based on Sparse Auto-Encoder with MCSA for Broken Rotor Bar Fault Detection and Diagnosis

Seghiour
1
,
Chouder
2
,
Hamou
3
et al. 2018
2018 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM)
11
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4
0
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A Deep Learning Based on Sparse Auto-Encoder with MCSA for Broken Rotor Bar Fault Detection and Diagnosis

Seghiour
1
,
Chouder
2
,
Hamou
3
et al. 2018
2018 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM)
11
0
4
0
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Detection of rotor faults based on Hilbert Transform and neural network for an induction machine

Bensaoucha
1
,
Ameur
2
,
Ahmed
3
et al. 2017
2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B)
11
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11
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PMSM Inter-Turn Short Circuit Fault Diagnosis using EKF Observer and FFT for Sensorless Input-Output Linearization Control

Maanan
2023
2023 International Conference on Electrical Engineering and Advanced Technology (ICEEAT)
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