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Browsing by Subject "Condition monitoring"

Now showing items 1-20 of 24

Advances in Electrical Machine, Power Electronic, and Drive Condition Monitoring and Fault Detection: State of the Art

Riera-Guasp, Martín; Antonino-Daviu, J.; Capolino, Gérard-André (Institute of Electrical and Electronics Engineers, 2015)

[EN] Recently, research concerning electrical machines and drives condition monitoring and fault diagnosis has experienced extraordinarily dynamic activity. The increasing importance of these energy conversion devices and ...
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 ...
Automatic Fault Diagnostic System for Induction Motors under Transient Regime Optimized with Expert Systems

Burriel-Valencia, Jordi; Puche-Panadero, Rubén; Martinez-Roman, Javier; Sapena-Bano, Angel; Pineda-Sanchez, Manuel; Pérez-Cruz, Juan; Riera-Guasp, Martín (MDPI AG, 2019-01)

[EN] Induction machines (IMs) power most modern industrial processes (induction motors) and generate an increasing portion of our electricity (doubly fed induction generators). A continuous monitoring of the machine's ...
Caracterización de un sensor para la determinación del código de limpieza de aceites hidráulicos

García Andrés, Miguel (Universitat Politècnica de València, 2019-10-17)

[ES] El presente documento trata como objeto de estudio la caracterización de un sensor óptico online empleado para el análisis de la contaminación de aceites hidráulicos mediante la técnica de contaje de partículas y la ...
Condition monitoring of wind power plants using failure detection methods based on prediction errors

Mossina, Luca (Universitat Politècnica de València, 2016-06-27)

[EN] The objective of the work is to build a model based on robust regression is built to characterize wind turbines data collected through a SCADA system, to be exploited as a condition monitoring tool. Discrepancies ...
Detección de fallos en amortiguadores de suspensiones de vehículos ferroviarios mediante el análisis de las señales de aceleración en caja y bogies

Guerrero Cánovas, Miguel (Universitat Politècnica de València, 2019-09-10)

[ES] Uno de los subsistemas críticos en un vehículo ferroviario desde el punto de vista de la seguridad de marcha y el confort son las suspensiones, tanto primaria como secundaria. Tradicionalmente sus componentes son ...
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 ...
Estudio y propuesta de herramientas para el monitoreo de condición de cajas de grasa en bogies de locomotoras

Benitez Cortes, Ricardo Adolfo (Universitat Politècnica de València, 2020-01-10)

[ES] El estado de los rodamientos de un bogie siempre ha sido un factor importante desde el punto de vista de la seguridad y el mantenimiento de vehículos ferroviarios. Tradicionalmente la industria ferroviaria ha empleado ...
Experimental assessment and validation of an oil ferrous wear debris sensors family for wind turbine gearboxes

Macian Martinez, Vicente; Tormos, B.; Miró Mezquita, Guillermo; Rodes, Isaac (Emerald, 2018-01-15)

[EN] Purpose - The purpose of this study was to perform a complete experimental assessment of a family of oil ferrous wear debris sensor is performed. The family comprised the original sensor and its re-engineered evolution, ...
Fault Diagnosis of Induction Machines in a Transient Regime Using Current Sensors with an Optimized Slepian Window

Burriel-Valencia, Jordi; Puche-Panadero, Rubén; Martinez-Roman, Javier; Sapena-Bano, Angel; Pineda-Sanchez, Manuel (MDPI AG, 2018)

[EN] The aim of this paper is to introduce a new methodology for the fault diagnosis of induction machines working in the transient regime, when time-frequency analysis tools are used. The proposed method relies on the use ...
Fault Diagnosis of Rotating Electrical Machines in Transient Regime Using a Single Stator Current's FFT

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

[EN] The discrete wavelet transform (DWT) has attracted a rising interest in recent years to monitor the condition of rotating electrical machines in transient regime, because it can reveal the time-frequency behavior of ...
Harmonic Order Tracking Analysis: A Novel Method for Fault Diagnosis in Induction Machines

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 ...
Harmonic Order Tracking Analysis: A Speed-Sensorless Method for Condition Monitoring of Wound Rotor Induction Generators

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 ...
Locally optimized chirplet spectrogram for condition monitoring of induction machines in transient regime

Martinez-Roman, Javier; Puche-Panadero, Rubén; Sapena-Bano, Angel; Burriel-Valencia, Jordi; Riera-Guasp, Martín; Pineda-Sanchez, Manuel (Elsevier, 2022-02-28)

[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 ...
Long-Term Operational Data Analysis of an In-Service Wind Turbine DFIG

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 ...
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 ...
Low-Cost Diagnosis of Rotor Asymmetries of Induction Machines at Very Low Slip With the Goertzel Algorithm Applied to the Rectified Current

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 ...
Maintenance Decision Making based on different types of data fusion

Galar, D.; Gustafson, A.; Tormos Martínez, Bernardo Vicente; Berges, Luis (Polish Maintenance Society, 2012)

[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 ...
Partial Inductance Model of Induction Machines for Fault Diagnosis

Pineda-Sanchez, Manuel; Puche-Panadero, Rubén; Martinez-Roman, Javier; Sapena-Bano, Angel; Riera-Guasp, Martín; Pérez-Cruz, Juan (MDPI AG, 2018)

[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 ...
Puesta en marcha y validación experimental de un sensor para contaje y clasificación de partículas contaminantes en aceites lubricantes

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 ...