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    • 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, 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 ...
    • Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data 

      Serradilla, Oscar; Zugasti, Ekhi; Zurutuza, Urko (MDPI, 2021)
      Predictive maintenance (PdM) has the potential to reduce industrial costs by anticipating failures and extending the work life of components. Nowadays, factories are monitoring their assets and most collected data belong ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Experimental and Numerical Simulation Investigation on Deep Drawing Process of Inconel 718 with and without Intermediate Annealing Thermal Treatments 

      Ulibarri Hernández, Unai; GALDOS, Lander; Sáenz de Argandoña, Eneko; Mendiguren, Joseba (MDPI AG, 2020)
      The aeronautical industry is moving from high-capacity large-airplane construction to low-capacity small-airplane construction. With the change in the production volume, there is a need for more e cient manufacturing ...
    • Goal-Conditioned Reinforcement Learning within a Human-Robot Disassembly Environment 

      Arana-Arexolaleiba, Nestor (MDPI, 2022)
      The introduction of collaborative robots in industrial environments reinforces the need to provide these robots with better cognition to accomplish their tasks while fostering worker safety without entering into safety ...
    • In-Line Dimensional Inspection of Warm-Die Forged Revolution Workpieces Using 3D Mesh Reconstruction 

      Alonso, Marcos; Izaguirre Altuna, Alberto (MDPI, 2019)
      Industrial dimensional assessment presents instances in which early control is exerted among “warm” (approx. 600 ºC) pieces. Early control saves resources, as defective processes are timely stopped and corrected. Existing ...
    • Industrial Cyber-Physical System Evolution Detection and Alert Generation 

      Sagardui, Goiuria (MDPI AG, 2019)
      Industrial Cyber-Physical System (ICPS) monitoring is increasingly being used to make decisions that impact the operation of the industry. Industrial manufacturing environments such as production lines are dynamic and ...
    • 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 ...
    • Investigation of Microservice-Based Workflow Management Solutions for Industrial Automation 

      Larrinaga, Felix; Ochoa, William; Perez Riaño, Alain (MDPI, 2023)
      In an era ruled by data and information, engineers need new tools to cope with the increased complexity of industrial operations. New architectural models for industry enable open communication environments, where workflows ...
    • 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, ...
    • A methodology and experimental implementation for industrial robot health assessment via torque signature analysis 

      Izagirre, Unai; andonegui, imanol; Egea, Aritz; Zurutuza, Urko (MDPI AG, 2020)
      This manuscript focuses on methodological and technological advances in the field of health assessment and predictive maintenance for industrial robots. We propose a non-intrusive methodology for industrial robot joint ...
    • Optimum Slot and Pole Design for Vibration Reduction in Permanent Magnet Synchronous Motors 

      Mendizabal, Mikel; McCloskey, Alex; Poza, Javier; Zárate 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 ...
    • Petri net-based semi-compiled code generation for programmable logic controllers 

      Azkarate, Igor; Mugarza Cortabarria, Juan Carlos; Eciolaza, Luka (MDPI, 2021)
      Industrial discrete event dynamic systems (DEDSs) are commonly modeled by means of Petri nets (PNs). PNs have the capability to model behaviors such as concurrency, synchronization, and resource sharing, compared to a step ...
    • Real-Time, Model-Agnostic and User-Driven Counterfactual Explanations Using Autoencoders 

      Labaien Soto, Jokin; Zugasti, Ekhi (MDPI, 2023)
      Explainable Artificial Intelligence (XAI) has gained significant attention in recent years due to concerns over the lack of interpretability of Deep Learning models, which hinders their decision-making processes. To address ...
    • Study of Partial Discharge Inception Voltage in Inverter Fed Electric Motor Insulation Systems 

      Elorza Azpiazu, Leire; Almandoz, Gaizka; Egea, Aritz; Ugalde, Gaizka; Badiola, Xabier (MDPI, 2023)
      This article performs a thorough evaluation of different environmental and electrical waveform characteristics affecting PDIV on electric motor winding insulation. Temperature received special attention, as it clearly ...
    • System of Systems Lifecycle Management: A New Concept Based on Process Engineering Methodologies 

      Larrinaga, Felix (MDPI, 2021)
      In order to tackle interoperability issues of large-scale automation systems, SOA (Service-Oriented Architecture) principles, where information exchange is manifested by systems providing and consuming services, have already ...

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