Sapena-Bano, Angel; Pineda-Sanchez, Manuel; Puche-Panadero, Rubén; Pérez-Cruz, Juan; Roger-Folch, José; Riera-Guasp, Martín; Martinez-Roman, Javier(Institute of Electrical and Electronics Engineers, 2015)
[EN] The diagnosis of induction machines using Fourier transform relies on tracking the frequency signature of each type of fault in the current's spectrum, but this signature depends on the machine's slip and the supply ...
Sapena Bañó, Ángel; Riera Guasp, Martín; Puche Panadero, Rubén; Martínez Román, Javier Andrés; Pérez Cruz, Juan; Pineda Sánchez, Manuel(Institute of Electrical and Electronics Engineers (IEEE), 2016-11)
[EN] This paper introduces a speed-sensorless method for detecting rotor asymmetries in wound rotor induction machines working under nonstationary conditions. The method is based on the time-frequency analysis of rotor ...
[EN] The locally optimized chirplet spectrogram (LOCS) is a novel method proposed in this work for generating a high-resolution and cost-effective spectrogram of the induction machine (IM) current, suitable for the ...
Artigao, Estefania; Sapena-Bano, Angel; Honrubia-Escribano, Andrés; Martinez-Roman, Javier; Puche-Panadero, Rubén; Gómez-Lázaro, Emilio(Institute of Electrical and Electronics Engineers, 2019-01-29)
[EN] While wind turbine (WT) power capacities continue to increase and new offshore developments are being deployed, operation and maintenance (O&M) costs continue to rise, becoming the center of attention in the wind ...
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 ...
Martinez-Roman, Javier; Puche-Panadero, Rubén; Terron-Santiago, Carla; Sapena-Bano, Angel; Burriel-Valencia, Jordi; Pineda-Sanchez, Manuel(Institute of Electrical and Electronics Engineers, 2021)
[EN] Induction machines (IMs) are essential components of many industrial installations and, therefore, their faults must be detected early. Fault detection using current spectrum
analysis is attracting an increasing ...
Zamudio-Ramírez, Israel; Osornio-Rios, Roque Alfredo; Antonino-Daviu, J.; Razik, Hubert; Romero-Troncoso, Rene de Jesus(Institute of Electrical and Electronics Engineers, 2022-05)
[EN] Magnetic flux analysis is a condition monitoring technique that is drawing the interest of many researchers and motor manufacturers. The great enhancements and reduction in the costs and dimensions of the required ...
[EN] Over the last decade, system integration is applied more as it allows organizations to streamline business processes. A recent
development in the asset engineering management is to leverage the investment already ...
[EN] The use of renewable energies is increasing around the world in order to deal with the
environmental and economic problems related with conventional generation. In this sense, photovoltaic generation is one of the ...
[EN]
On-site partial discharge (PD) measurements have turned out to be a very efficient technique for determining the insulation condition in high-voltage electrical grids (AIS, cable systems, GIS, HVDC converters, etc.); ...
Puche-Panadero, Rubén; Martinez-Roman, Javier; Sapena-Bano, Angel; Burriel-Valencia, Jordi; Pineda-Sanchez, Manuel; Pérez-Cruz, Juan; Riera-Guasp, Martín(Institute of Electrical and Electronics Engineers, 2021)
[EN] Motor current signature analysis has become a widespread fault diagnosis technique for induction machines (IMs), because it is noninvasive and requires low resources of hardware (a current sensor) and software (a fast ...
[EN] The development of advanced fault diagnostic systems for induction machines through the stator current requires accurate and fast models that can simulate the machine under faulty conditions, both in steady-state and ...
González Hernández, Alex Alberto(Universitat Politècnica de València, 2017-10-03)
An on-line sensor for classifying and counting wear particles on used lubricants will be adapted for use as off-line laboratory device. In order to do that, a validation process will be developed and applied. Calibration ...
Carballo Moreno, José Luis(Universitat Politècnica de València, 2023-10-03)
[ES] En el presente TFM se propone una metodología de aplicación del mantenimiento predictivo, que en este caso está orientado hacia una flota de transporte, pero que es extrapolable a cualquier parque de máquinas.
Se ...
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 ...
Marqués Tatay, Carlos(Universitat Politècnica de València, 2022-07-25)
[ES] El monitoreo de condición es una técnica ampliamente desarrollada en el ámbito de la ingeniería naval para el mantenimiento preventivo de motores y demás maquinaria. Se basa en el control de la variación de uno o ...
Jaen-Cuellar, Arturo Yosimar; Osornio-Ríos, Roque Alfredo; Trejo-Hernández, Miguel; Zamudio-Ramírez, Israel; Díaz-Saldaña, Geovanni; Pacheco-Guerrero, José Pablo; Antonino-Daviu, Jose Alfonso(MDPI AG, 2021-12)
[EN] The computer numerical control (CNC) machine has recently taken a fundamental role in the manufacturing industry, which is primordial for the economic development of many countries. Current high quality production ...
Sapena-Bano, Angel; Burriel-Valencia, Jordi; Pineda-Sanchez, Manuel; Puche-Panadero, Rubén; Riera-Guasp, Martín(Institute of Electrical and Electronics Engineers, 2017)
[EN] This paper introduces a new approach for improving the fault diagnosis in induction motors under time-varying conditions. A significant amount of published approaches in this field rely on representing the stator ...
[EN] Failures in damper windings of synchronous machines operating in real facilities have been recently reported by several authors and companies. These windings are crucial elements of synchronous motors and generators, ...
Vives-Fuster, Javier(International Institute of Acoustics and Vibration (IIAV), 2022-06)
[EN] The implementation of supervised machine learning techniques classifiers is changing wind turbine maintenance. This automatic and autonomous learning methodology allows one to predict, detect, and anticipate the ...