Now showing items 1-20 of 22

    • A Knowledge-Based Engineering System Framework for the Development of Electric Machines 

      Rivera, Christian A. (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2019)
      The new concept industry 4.0 is a great opportunity to improve the competitiveness in a global market for small-medium size electric machinery companies. The demand for electric motors have increased in the last decade ...
    • A Requirement Engineering Framework for Electric Motors Development 

      Rivera, Christian A.; Poza, Javier; Ugalde, Gaizka; Almandoz, Gaizka (MDPI AG, 2018)
      The applications using electric motors have increased in the last decade. Some of these applications encounter the need for tailor-made motors that must meet demanding requirements. Therefore, the specification stage of ...
    • A Review in Fault Diagnosis and Health Assessment for Railway Traction Drives 

      Garramiola, Fernando; Madina Hernández, Patxi; del-Olmo, Jon; Almandoz, Gaizka (MDPI AG, 2018)
      During the last decade, due to the increasing importance of reliability and availability, railway industry is making greater use of fault diagnosis approaches for early fault detection, as well as Condition-based maintenance ...
    • Analysis of Permanent Magnet Motors in High Frequency: A Review 

      Moreno Lafuente, Yerai; Almandoz, Gaizka; Egea, Aritz; Arribas Imaz, Beñat (MDPI, 2021)
      Electric drives consume a great amount of the world’s energy, and it will keep increasing due to the electromobility trend. Thus, the efficiency of electric drives must be improved to reach the desired sustainability goal. ...
    • Analytical Model to Calculate Radial Forces in Permanent-Magnet Synchronous Machines 

      McCloskey, Alex; Almandoz, Gaizka (MDPI, 2021)
      There are three principal sources of noise and vibration in electrical machines: electromagnetic sources, mechanical sources, and aerodynamic sources. Nowadays, one of the major advantages of permanent-magnet synchronous ...
    • Data-Driven Fault Diagnosis for Electric Drives: A Review 

      González Jiménez, David; del-Olmo, Jon; Poza, Javier; Garramiola, Fernando; Madina Hernández, 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 ...
    • DC-Link Voltage and Catenary Current Sensors Fault Reconstruction for Railway Traction Drives 

      Garramiola, Fernando; del-Olmo, Jon; Poza, Javier; Madina Hernández, 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 ...
    • Development of a Thermal Analysis Tool for Linear Machines 

      Eguren Alustiza, Imanol; Almandoz, Gaizka; Egea, Aritz; Elorza Azpiazu, Leire (MDPI, 2021)
      The thermal design is one of the most important stages in the design process of electrical machines. Thanks to software packages, like Motor-CAD, rotating machine designers can predict the thermal operation of the machines ...
    • Effects of manufacturing tolerances of permanent magnets in fractional slot permanent magnet synchronous machines 

      Zarate Barriga, Sergio; Almandoz, Gaizka; Ugalde, Gaizka; Poza, Javier (IET, 2019)
      The fractional slot permanent magnet synchronous machines are well-known for their low torque ripple. However, in mass-production machines, not all the permanent magnets are identical due to the manufacturing tolerances ...
    • Field Weakening Characteristics Computed with FEM-Coupled Algorithms for Brushless AC Motors 

      Rivera, Christian A.; Almandoz, Gaizka; Ugalde, Gaizka; Poza, Javier (MDPI AG, 2018)
      Finite Element Method (FEM) analysis tools are the most adopted in the design of brushless alternating current motors due to the advantage of considering multi-physics effects with dependencies of variables such as ...
    • 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 ...
    • A Hybrid Sensor Fault Diagnosis for Maintenance in Railway Traction Drives 

      Garramiola, Fernando; Poza, Javier; Madina Hernández, 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 ...
    • Industrial Design of Electric Machines Supported with Knowledge-Based Engineering Systems 

      Rivera, Christian A.; 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 ...
    • Integral Sensor Fault Detection and Isolation for Railway Traction Drive 

      Garramiola, Fernando; del-Olmo, Jon; Madina Hernández, 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 ...
    • Less Rare-Earth Electromagnetic Design for a High-Performance Permanent Magnet Motor 

      Rivera, Christian A.; 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, ...
    • 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 ...
    • Multi-Physics Tool for Electrical Machine Sizing 

      Moreno Lafuente, Yerai; Almandoz, Gaizka; Egea, Aritz; Madina Hernández, Patxi (MDPI AG, 2020)
      Society is turning to electrification to reduce air pollution, increasing electric machine demand. For industrial mass production, a detailed design of one machine is usually done first, then a design of similar machines, ...
    • Novel High Accuracy Resolver Topology for Space Applications 

      Santiso-Zelaia, Jon; Ugalde, Gaizka; Garramiola, Fernando; Iturbe, Ion; Sarasola Altuna, Izaskun (MDPI, 2021)
      In recent years, the space industry has experienced a significant change mainly due to the incursion of private companies, which has shaken up the sector. This new situation allows for a reduction regarding the reliability ...
    • Optimum Slot and Pole Design for Vibration Reduction in Permanent Magnet Synchronous Motors 

      Mendizabal Eizaguirre, Mikel; McCloskey Gómez, 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 ...
    • Slender workpiece cutting process stability prediction and monitoring based on internal signals 

      Badiola, Xabier (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2019)
      Chatter is commonly found when machining slender components on a lathe due to the low stiffness and damping. Aspects such as accuracy and roughness are usually compromised owing to large variation in stiffness along the ...