Fernández-Cavero, Vanesa; García-Escudero, Luis A.; Pons Llinares, Joan; Fernández-Temprano, Miguel A.; Duque-Perez, Oscar; Morinigo-Sotelo, Daniel(MDPI AG, 2021-05)
[EN] A proper diagnosis of the state of an induction motor is of great interest to industry given the great importance of the extended use of this motor. Presently, the use of this motor driven by a frequency converter is ...
Pineda-Sanchez, Manuel; Riera-Guasp, Martín; Roger-Folch, José; Antonino-Daviu, J.; Pérez-Cruz, Juan; Puche-Panadero, Rubén(Institute of Electrical and Electronics Engineers, 2011)
[EN] Transient motor current signature analysis is a recently developed technique for motor diagnostics using speed transients. The whole speed range is used to create a unique stamp of each fault harmonic in the time-frequency ...
[EN] Time-frequency analysis of the transient current in induction motors (IMs) is the basis of the transient motor current signature analysis diagnosis method. IM faults can be accurately identified by detecting the ...
Vedreño Santos, Francisco Jose; Riera-Guasp, Martín; Henao, Humberto; Pineda-Sanchez, Manuel; Puche-Panadero, Rubén(Institute of Electrical and Electronics Engineers, 2014)
[EN] This paper proposes a methodology to improve the
reliability of diagnosis of different types of faults in wound-rotor
induction generators which work under variable load conditions,
as in wind turbine applications; ...
Puche-Panadero, Rubén; Martinez-Roman, Javier; Sapena-Bano, Angel; Burriel-Valencia, Jordi(Institute of Electrical and Electronics Engineers, 2020-03)
[EN] Fault diagnosis of induction motors through the analysis of the stator current is increasingly being used in maintenance systems, because it is non-invasive and has low requirements of hardware and software. Nevertheless, ...
Márquez-Vera, M. A.; López-Ortega, O.; Ramos-Velasco, L. E.; Ortega-Mendoza, R. M.; Fernández-Neri, B. J.; Zúñiga-Peña, N. S.(Universitat Politècnica de València, 2021-04-06)
[EN] Fault diagnosis is important for industrial processes because it permits to determine the necessity of emergency stops in a process and/or to propose a maintenance plan. Two strategies for fault diagnosis are compared ...
[EN] Nowadays industrial process systems are becoming more complex and it is needed simpler and efficient diagnosers by decreasing the dimension of their models. Modular diagnosis has proved to be very efficient in order ...
Romero-Sedo, Antonio-Manuel; Arrue-Burillo, Paloma; Romero Miquel, Jordi Françesc(Asociación Española de Dirección e Ingeniería de Proyectos (AIEPRO), 2020-07-09)
[ES] Debido al elevado número de fugas en las redes de abastecimiento de agua potable
existentes en una Unidad de Ejecución de una localidad se procede a realizar el
estudio con el objetivo de conocer las causas que están ...
Ortiz Pérez, Ángel(Universitat Politècnica de València, 2021-10-08)
[ES] Los rodamientos son elementos usados en gran cantidad de máquinas y dependiendo de su función, pueden variar de tamaño y de tipo. Detectar fallos en rodamientos puede ser muy útil, ya que su mal funcionamiento puede ...
Cháfer Ferrando, Benjamín Adán(Universitat Politècnica de València, 2021-03-01)
[ES] Se propone un sistema de monitorización y detección de averías para motores de inducción, no
intrusivo, consistente en el seguimiento de la intensidad del estátor y la velocidad de giro y
basado en Internet of Things ...
García Badenas, Alejandro(Universitat Politècnica de València, 2023-10-28)
[ES] En los últimos años, el análisis de fallos en los rodamientos de las máquinas eléctricas rotativas se ha convertido en un elemento de estudio y aplicación de suma importancia, ya que evita daños que impiden un correcto ...
Jordán Tomás, Joan(Universitat Politècnica de València, 2023-09-25)
[ES] Este Trabajo Final de Grado tiene como objetivo principal desarrollar una aplicación de técnicas de inteligencia artificial y aprendizaje automático utilizando Matlab en el ámbito del mantenimiento y diagnóstico de ...
[EN] The behaviour of an induction machine during a startup transient can provide useful information for the diagnosis of electromechanical faults. During this process, the machine works under high stresses and the effects ...
[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 ...
Castro-Coronado, Habib; Antonino-Daviu, Jose A.; Quijano-Lopez, Alfredo; Llovera Segovia, Pedro; Fuster Roig, Vicente Luis; Serrano Iribarnegaray, Luís; Dunai, Larisa(Institute of Electrical and Electronics Engineers, 2021-09)
[EN] This paper proposes the qualitative and quantitative analysis of stray-flux and current data under starting to detect damper faults in cylindrical rotor synchronous machines. These machines are typically employed in ...
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 ...
[EN] The work carried out by the authors consists of applying a modern time-frequency decomposition (TFD) tool, the Hilbert-Huang Transform (HHT), to the diagnosis and the evaluation of electromechanical faults in induction ...
[EN] Motor current signature analysis (MCSA) is a fault diagnosis method for induction machines (IMs) that has attracted wide industrial interest in recent years. It is based on the detection of the characteristic fault ...
[EN] Electric motors use about 68% of total generated electricity. Fault diagnosis of electrical motors is an important task, because it allows saving a large amount of money and time. An analysis of acoustic signals is a ...
Flores, A.; Quiles Cucarella, Eduardo; García Moreno, Emilio; Morant Anglada, Francisco José(Institute of Electrical and Electronics Engineers (IEEE), 2016-08)
This paper proposes a new method for fault
diagnosis in electric power systems based on neural networks.
With this method the diagnosis is performed by assigning a
neural module for each type of component of the electric ...