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Browsing by Subject "Induction motor"

Now showing items 1-13 of 13

Air-gap force distribution and vibration pattern of Induction motors under dynamic eccentricity

Jover Rodríguez, Pedro Vicente; Belahcen, Anouar; Arkkio, A.; Laiho, Antti; Antonino-Daviu, J. (Springer-Verlag, 2008)

[EN] A method for determining the signatures of dynamic eccentricity in the airgap force distribution and vibration pattern of induction machine is presented. The radial electromagnetic force distribution along the airgap, ...
Application of the Teager-Kaiser Energy Operator to the Fault Diagnosis of Induction Motors

Pineda-Sanchez, Manuel; Puche-Panadero, Ruben; Riera-Guasp, Martín; Pérez-Cruz, Juan; Roger-Folch, José; Pons Llinares, Joan; Climente Alarcón, Vicente; Antonino-Daviu, J. (Institute of Electrical and Electronics Engineers, 2013)

[EN] The diagnosis of induction motors through the spectral analysis of the stator current allows for the online identification of different types of faults. One of the major difficulties of this method is the strong ...
Application of the Wigner-Ville distribution for the detection of rotor asymmetries and eccentricity through high-order harmonics

Climente Alarcón, Vicente; Antonino Daviu, J.; Riera Guasp, Martín; Puche Panadero, Rubén; Escobar Moreira, León (Elsevier, 2012-10)

[EN] The diagnosis of induction machines through the use of methods based on the study of the startup current has become an issue of special interest. These techniques may provide, in certain situations (unbalanced supply ...
Comparative Experimental Investigation of Broken Bar Fault Detectability in Induction Motors

Gyftakis, Konstantinos N.; Antonino-Daviu, J.; Garcia-Hernandez, Raul; McCulloch, Malcolm D.; Howey, David A.; Marques Cardoso, Antonio J. (Institute of Electrical and Electronics Engineers, 2016)

[EN] It has been shown in the past that the zero-sequence current spectrum can be reliably used to detect broken bar faults in induction motors. Previous work was carried out with extensive FEM analysis. Although it allows ...
Control Vectorial de un Motor de Inducción con Carga Desconocida Basado en un Nuevo Observador No Lineal

Gallegos Lara, Marco A.; Álvarez Salas, Ricardo; Moreno, Jaime A.; Espinosa Pérez, Gerardo (Universitat Politècnica de València, 2010-10-08)

[EN] In this paper a sensorless vector control scheme for induction motor, which works in a whole range of speed is presented. Controller is based on a low order and semiglobal convergence new observation algorithm which ...
Detection of Broken Outer-Cage Bars for Double-Cage Induction Motors Under the Startup Transient

Antonino-Daviu, J.; Riera-Guasp, Martín; Pons Llinares, Joan; Park, Jongbin; Lee, Sang Bin; Yoo, Jiyoon; Kral, Christian (Institute of Electrical and Electronics Engineers, 2012)

[EN] Unlike single-cage rotor fault detection, fast Fourier transform (FFT)-based steady-state spectrum analysis techniques can fail to detect outer-cage faults in double-cage induction motors due to the small outer-cage ...
Electrical monitoring under transient conditions: a new paradigm in electric motors predictive maintenance

Antonino Daviu, José Alfonso (MDPI AG, 2020-09)

[EN] Electric motors condition monitoring is a field of paramount importance for industry. In recent decades, there has been a continuous effort to investigate on new techniques and methods that are able to determine the ...
Enhanced Simulink Induction Motor Model for Education and Maintenance Training

Pineda-Sanchez, Manuel; Climente Alarcón, Vicente; Riera-Guasp, Martín; Puche-Panadero, Rubén; Pons Llinares, Joan (International Institute of Informatics and Cybernetics, 2012)

[EN] The training of technicians in maintenance requires the use of signals produced by faulty machines in different operating conditions, which are difficult to obtain either from the industry or through destructive ...
Evaluation of the detectability of electromechanical faults in induction motors via transient analysis of the stray flux

Ramirez-Nunez, Juan A.; Antonino-Daviu, Jose; Climente Alarcon, Vicente; Quijano-Lopez, Alfredo; Razik, Hubert; Osornio-Rios, Roque A.; Romero-Troncoso, Rene J. (Institute of Electrical and Electronics Engineers, 2018)

[EN] The stray flux that is present in the vicinity of an induction motor is a very interesting information source to detect several types of failures in these machines. The analysis of this quantity can be employed, in ...
Low-Cost Diagnosis of Rotor Asymmetries in Induction Machines Working at a Very Low Slip Using the Reduced Envelope of the Stator Current

Sapena-Bano, Angel; Pineda-Sanchez, Manuel; Puche-Panadero, Rubén; Martinez-Roman, Javier; Kanovic, Zelkjo (Institute of Electrical and Electronics Engineers, 2015)

[EN] Fault diagnosis of rotor asymmetries in induction machines working at a very low slip, through Fourier-based methods,usually requires a long acquisition time to achieve a high spectral resolution and a high sampling ...
Métodos de control de motores de inducción: síntesis de la situación actual

Arnanz, Roberto; García, F. Javier; Miguel, Luis J. (2016-10-10)

[ES] Este trabajo describe y analiza la situación actual de los métodos de control de motores de inducción que se aplican en la industria, desde los métodos clásicos hasta los más modernos. Además se da una visión general ...
Scale Invariant Feature Extraction Algorithm for the Automatic Diagnosis of Rotor Asymmetries in Induction Motors

Antonino-Daviu, J.; Aviyente, Selin; Strangas, Elias G.; Riera-Guasp, Martín (Institute of Electrical and Electronics Engineers, 2013)

[EN] The development of portable devices that make the reliable diagnosis of faults in electric motors possible has become a challenge for many researchers and maintenance enterprises. These machines intervene in a huge ...
Support vector machine classifier for diagnosis in electrical machines: Application to broken bar

Matic, Dragan; Kulic, Filip; Pineda Sánchez, Manuel; Kamenko, Ilija (Elsevier, 2012-08)

[EN] This paper presents a support vector machine classifier for broken bar detection in electrical induction machine. It is a reliable online method, which has high robustness to load variations and changing operating ...