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    • Automatic detection test of current sensor faults for induction motor drives at standstill 

      del-Olmo, Jon; Poza, Javier; Ugalde, Gaizka (IEEE, 2016)
      This paper proposes an automatic detection test of gain faults in current sensors. An offline test is applied when the machine is not operating. The designed test operates at standstill without being necessary to disconnect ...
    • Data-Driven Fault Diagnosis for Electric Drives: A Review 

      Gonzalez-Jimenez, 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 ...
    • 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 ...
    • DC-link sensor Fault Detection and isolation for railway traction electric drives 

      del-Olmo, Jon; Poza, Javier; Garramiola, Fernando; Almandoz, Gaizka (IEEE, 2017)
      This article presents the design and the implementation of a fault detection and isolation strategy for sensors in variable speed drives. Electric drives use several current and voltage sensors for control and protection. ...
    • DC-Link Voltage and Catenary Current Sensors Fault Reconstruction for Railway Traction Drives 

      Garramiola, Fernando; del-Olmo, Jon; Poza, Javier; Madina, Patxi; Almandoz, Gaizka (MDPI AG, 2018)
      Due to the importance of sensors in control strategy and safety, early detection of faults in sensors has become a key point to improve the availability of railway traction drives. The presented sensor fault reconstruction ...
    • Hardware-in-the-loop performance analysis of a railway traction system under sensor faults 

      Garramiola, Fernando; Poza, Javier; del-Olmo, Jon (IET, 2019)
      Fault mode and effects analysis (FMEA) has been used during decades for analysing the effects of faults in different applications. Initially, FMEA based on risk priority numbers provided information about the effects in ...
    • Hybrid Fault Detection and Diagnosis Approach of Power Connections for Induction Motors 

      Gonzalez-Jimenez, David; del-Olmo, Jon; Poza, Javier; Sarasola, Izaskun; Cabezas Olivenza, Mireya (IEEE, 2025)
      The increasing demand for reliable electric mobility solutions highlights the need for advanced fault detection and diagnosis (FDD) strategies to ensure system reliability and safety. This paper presents a hybrid approach ...
    • 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 ...
    • Integral Sensor Fault Detection and Isolation for Railway Traction Drive 

      Garramiola, Fernando; del-Olmo, Jon; Madina, Patxi; Almandoz, Gaizka; Poza, Javier (MDPI AG, 2018)
      Due to the increasing importance of reliability and availability of electric traction drives in Railway applications, early detection of faults has become an important key for Railway traction drive manufacturers. Sensor ...
    • 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, 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 ...
    • Model driven Hardware-in-the-Loop Fault analysis of railway traction systems 

      del-Olmo, Jon; Poza, Javier; Garramiola, Fernando (IEEE, 2017)
      Classical Dependability Analysis techniques, such as Failure Mode and Effects Analysis (FMEA) and Fault Tree Analysis, have been used during the last decades to demonstrate the reliability, availability, maintainability ...
    • Teaching Model-Based Systems Engineering with MATLAB & Simulink for Smart Energy Systems 

      del-Olmo, Jon; Aizpuru, Iosu; Sanchez Alberdi, Manu; Gonzalez-Jimenez, David (2023)
      Developing complex and smart energy systems is a challenge for today's industry. Systems are developed consisting of power hardware, control and communication hardware, and software of all kinds with more and more connectivity. ...

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      Recolectado por:

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      Validado por:

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      MONDRAGON UNIBERTSITATEA | Biblioteca
      Contacto | Sugerencias
      DSpace