Browsing by Author "874653dd4c2b6512d8a7a9ed51f67d68"
Now showing items 1-16 of 16
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A Review in Fault Diagnosis and Health Assessment for Railway Traction Drives
Garramiola, Fernando; Madina, Patxi; Andrade 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 ... -
A comparison between continuous and hairpin windings for electric traction drives
Garramiola, Fernando (IEEE, 2023)Present change in mobility to vehicle electrification involves highly exigent requirements on product performance and production technologies. In the manufacturing of electric machines, the stator winding is the most ... -
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 ... -
Double Dead-Time Signal Injection Strategy for Stator Resistance Estimation of Induction Machines
Poza, Javier; Garramiola, Fernando; Rivera, Christian A.; 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 ... -
Effects of Recycled Permanent Magnets on Electric Machine and Hybrid Electric Vehicle Performances
Ugalde, Gaizka; Garramiola, Fernando; Rivera, Christian A. (ASME, 2023)Permanent magnet price volatility is an ongoing issue that affects many industrial sectors worldwide, dictating the costs of the final product by a substantial degree. This fluctuation can be attributed to a large ... -
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 ... -
HEFT emotor design for A+B segment
Almandoz, Gaizka; Egea, Aritz; Arribas Imaz, Beñat; Garramiola, Fernando (2024) -
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 ... -
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, 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 ... -
Novel High Accuracy Resolver Topology for Space Applications
Santiso-Zelaia, Jon; Ugalde, Gaizka; Garramiola, Fernando; Iturbe, Ion; Sarasola, 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 ...





