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A Hybrid Sensor Fault Diagnosis for Maintenance in Railway Traction Drives 

Garramiola, Fernando; Poza, Javier; Madina, Patxi; del-Olmo, Jon; Ugalde, Gaizka (MDPI AG, 2020)
Due to the importance of sensors in railway traction drives availability, sensor fault diagnosis has become a key point in order tomove frompreventivemaintenance to condition-basedmaintenance. Most research works are limited ...
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Machine Learning-Based Fault Detection and Diagnosis of Faulty Power Connections of Induction Machines 

Gonzalez-Jimenez, David; del-Olmo, Jon; Poza, Javier; Garramiola, Fernando; Sarasola Altuna, Izaskun (MDPI, 2021)
Induction machines have been key components in the industrial sector for decades, owing to different characteristics such as their simplicity, robustness, high energy efficiency and reliability. However, due to the stress ...
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Optimum Slot and Pole Design for Vibration Reduction in Permanent Magnet Synchronous Motors 

Mendizabal Eizaguirre, Mikel; McCloskey, Alex; Poza, Javier; Zarate Barriga, Sergio; Iriondo, Jaione (MDPI, 2021)
Permanent Magnet Synchronous Motors (PMSMs) are increasingly being used and are required to satisfy noise and vibration specifications. Thus, it is necessary to develop design guidelines for electric motors that consider ...
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Industrial Design of Electric Machines Supported with Knowledge-Based Engineering Systems 

Rivera Salazar, Christian Alexander; Poza, Javier; Ugalde, Gaizka; Almandoz, Gaizka (MDPI, 2021)
The demand for electric machines has increased in the last decade, mainly due to applications that try to make a full transition from fuel to electricity. These applications encounter the need for tailor-made electric ...
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Data-Driven Fault Diagnosis for Electric Drives: A Review 

González Jiménez, David; del-Olmo, Jon; Poza, Javier; Garramiola, Fernando; Madina, Patxi (MDPI, 2021)
The need to manufacture more competitive equipment, together with the emergence of the digital technologies from the so-called Industry 4.0, have changed many paradigms of the industrial sector. Presently, the trend has ...
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Less Rare-Earth Electromagnetic Design for a High-Performance Permanent Magnet Motor 

Rivera, Christian J; Ugalde, Gaizka; Poza, Javier; Garramiola, Fernando; Badiola, Xabier (MDPI, 2022)
This paper presents an electromagnetic design alternative using the so-called banana-shaped magnets, achieving magnet weight reduction of 21.82% for the same performance as the baseline motor in the case study. Typically, ...
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Data‐Driven Low‐Frequency Oscillation Event Detection Strategy for Railway Electrification Networks 

Gonzalez-Jimenez, David; del-Olmo, Jon; Poza, Javier; Garramiola, Fernando; Madina, Patxi (MDPI, 2023)
Low-frequency oscillations (LFO) occur in railway electrification systems due to the incorporation of new trains with switching converters. As a result, the increased harmonic content can cause catenary stability problems ...
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Double Dead-Time Signal Injection Strategy for Stator Resistance Estimation of Induction Machines 

Poza, Javier; Garramiola, Fernando; Rivera Salazar, Christian Alexander; Iturbe, Ion (MDPI, 2022)
A sensorless online temperature estimator is presented in this paper, which estimates the temperature using a novel signal injection strategy. This allows to eliminate the temperature sensors in the machine, as well as ...

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Author
Poza, Javier (8)
Garramiola, Fernando (6)del-Olmo, Jon (4)Madina, Patxi (3)Ugalde, Gaizka (3)Gonzalez-Jimenez, David (2)Rivera Salazar, Christian Alexander (2)Almandoz, Gaizka (1)Badiola, Xabier (1)González Jiménez, David (1)... View MoreSubjectdata-driven (3)fault detection (3)Fault diagnosis (3)induction motor (2)machine learning (2)condition monitoring (1)condition-based maintenance (1)CRISP-DM (1)Data mining (1)data-driven approach (1)... View MoreDate Issued2021 (4)2022 (2)2020 (1)2023 (1)Has File(s)Yes (8)

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Harvested by:

OpenAIREBASE

Validated by:

OpenAIRERebiun
MONDRAGON UNIBERTSITATEA | Library
Contact Us | Send Feedback
DSpace