Browsing by Author "4d6b8789a9d665df9f8e1cf7ebd8fe84"
Now showing items 1-20 of 35
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Application of the D3H2 Methodology for the Cost-Effective Design of Dependable Systems
Aizpurua Unanue, Jose Ignacio; Muxika Olasagasti, Eñaut (MDPI AG, 2019)The use of dedicated components as a means of achieving desirable levels of fault tolerancein a system may result in high costs. A cost effective way of restoring failed functions is to use heterogeneous redundancies: ... -
Assessing heavy maintenance alternatives for floating offshore wind farms: Towing vs. onsite replacement strategies
Centeno-Telleria, Manu; Penalba, Markel (Elsevier, 2025)This paper presents the first comparative study evaluating towing and onsite replacement strategies for heavy maintenance of floating offshore wind (FOW) turbines. The towing maintenance strategy is characterised by a ... -
Best Practice Data Sharing Guidelines for Wind Turbine Fault Detection Model Evaluation
Izagirre, Unai; Serradilla, Oscar; Olaizola, Jon; Zugasti, Ekhi; Aizpurua Unanue, Jose Ignacio (MDPI, 2023)In this paper, a set of best practice data sharing guidelines for wind turbine fault detection model evaluation is developed, which can help practitioners overcome the main challenges of digitalisation. Digitalisation is ... -
Blind Efficient Method for Optimizing Jiles-Atherton Model Parameters
Conde Garrido, Juan Manuel; Ugarte Valdivielso, Jone; Aizpurua Unanue, Jose Ignacio; Barrenetxea, Manex; Silveyra, Josefina María (IEEE, 2026)We introduce a novel blind optimization method for determining the parameters of the Jiles-Atherton model of hysteresis, eliminating the need for user-provided initial guesses or search spaces. A carefully designed ... -
Building an Air Turbine Conditional Anomaly Detection Approach for Wave Power Plants
Aizpurua Unanue, Jose Ignacio; Penalba, Markel; Kirillova , Natalia; Alcorta Andoaga, Illart (2021)The Mutriku Wave Power Plant (WPP) is a wave energy conversion plant based on the oscillating water column technology (OWC). The energy production and the health state of the plant are directly dependent on the sea-state ... -
Comparative analysis and evaluation of ageing forecasting methods for semiconductor devices in online health monitoring
Villalobos Cano, Adrian; Barrutia, Iban; Peña Alzola, Rafael; Dragicevic, Tomislav; Aizpurua Unanue, Jose Ignacio (Elsevier, 2025)Semiconductor devices, especially MOSFETs (Metal–oxide–semiconductor field-effect transistor), are crucial in power electronics, but their reliability is affected by ageing processes influenced by cycling and temperature. ... -
Context-informed conditional anomaly detection approach for wave power plants: The case of air turbines
Aizpurua Unanue, Jose Ignacio; Penalba, Markel; Kirillova, Natalia (Elsevier, 2022)The reliability and energy production of wave power plants (WPPs) depend on sea-state conditions, operation efficiency and degradation of its constituent assets. Air turbines are key assets for the efficient and reliable ... -
A Data-Driven Health Assessment Method for Electromechanical Actuation Systems
Aizpurua Unanue, Jose Ignacio; Muxika Olasagasti, Eñaut; Iturrospe, Aitzol (Prognostics and Health Management Society, 2016)The design of health assessment applications for the electromechanical actuation system of the aircraft is a challenging task. Physics-of-failure models involve non-linear complex equations which are further complicated ... -
A data-driven long-term metocean data forecasting approach for the design of marine renewable energy systems
Penalba, Markel; Aizpurua Unanue, Jose Ignacio (Elsevier, 2022)The potential of Marine Renewable Energy (MRE) systems is usually evaluated based on recent metocean data and assuming the stationarity of the MRE resource. Yet, different studies in the literature have shown long-term ... -
Dataset with trips of a 17-floor traction elevator
Olaizola, Jon; Mendicute, Mikel; Aizpurua Unanue, Jose Ignacio (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2025) -
A Diagnostics Framework for Underground Power Cables Lifetime Estimation Under Uncertainty
Aizpurua Unanue, Jose Ignacio; Garro, Unai; Muxika Olasagasti, Eñaut; Mendicute, Mikel (IEEE, 2020)Power cables are critical assets for the reliable operation of the grid. The cable lifetime is generally estimated from the conductor temperature and associated lifetime reduction. However, these tasks are intricate due ... -
FPGA-Based Degradation and Reliability Monitor for Underground Cables
Garro, Unai; Muxika Olasagasti, Eñaut; Aizpurua Unanue, Jose Ignacio; Mendicute, Mikel (MDPI AG, 2019)The online Remaining Useful Life (RUL) estimation of underground cables and their reliability analysis requires obtaining the cable failure time probability distribution. Monte Carlo (MC) simulations of complex thermal ... -
Functionality and dependability assurance in massively networked scenarios
Aizpurua Unanue, Jose Ignacio (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2014)El diseño de sistemas confiables y la reducción de costos han sido vistos como objetivos conflictivos. Las técnicas tradicionales para diseñar sistemas confiables replican los recursos del sistema para mejorar la tolerancia ... -
A hybrid probabilistic battery health management approach for robust inspection drone operations
Alcibar, Jokin; Aizpurua Unanue, Jose Ignacio; Zugasti, Ekhi; Peñagarikano, Oier (Elsevier, 2025)Monitoring the health of remote critical infrastructure poses significant challenges due to limited accessibility and harsh operational environments. Inspection drones are ubiquitous assets that enhance the reliability of ... -
Hybrid Transformer Prognostics Framework for Enhanced Probabilistic Predictions in Renewable Energy Applications
Aizpurua Unanue, Jose Ignacio; Perez Ramirez, Ibai Aner (IEEE, 2022)The intermittent nature of renewable energy sources (RESs) hamper their integration to the grid. The stochastic and rapid-changing operation of RES technologies impact on power equipment reliability. Transformers are key ... -
Integrated machine learning and probabilistic degradation approach for vessel electric motor prognostics
Aizpurua Unanue, Jose Ignacio (Elsevier, 2023)In the transition towards more sustainable ships, electric motors (EM) are being used in ship propulsion systems to reduce emissions and increase efficiency. The safe operation of ships is crucial, and prognostics and ... -
An interpretable operational state classification framework for elevators through Convolutional Neural Networks
Olaizola Alberdi, Jon; Izagirre, Unai; Serradilla, Oscar; Zugasti, Ekhi; Mendicute, Mikel; Aizpurua Unanue, Jose Ignacio (Wiley, 2025)Ensuring the safe, reliable, and cost-efficient operation of transportation systems such as elevators is critical for the maintenance of civil infrastructures. The ability to monitor the health state and classify different ... -
Methodology for the Accelerated Reliability Analysis and Prognosis of Underground Cables based on FPGA
Garro, Unai (Mondragon Unibertsitatea. Goi Eskola Politeknikoa., 2019-11)Dependable electrical power distribution systems demand high reliability levels that cause increased maintenance costs to the utilities. Often, the extra costs are the result of unnecessary maintenance procedures, which ... -
Modelling and Resolution of Dynamic Reliability Problems by the Coupling of Simulink and the Stochastic Hybrid Fault Tree Object Oriented (SHyFTOO) Library
Aizpurua Unanue, Jose Ignacio (MDPI, 2019)Dependability assessment is one of the most important activities for the analysis of complex systems. Classical analysis techniques of safety, risk, and dependability, like Fault Tree Analysis or Reliability Block Diagrams, ... -
O&M-aware techno-economic assessment for floating offshore wind farms: A geospatial evaluation off the North Sea and the Iberian Peninsula
Centeno-Telleria, Manu; Aizpurua Unanue, Jose Ignacio; Penalba, Markel (Elsevier, 2024)The development of accurate techno-economic models is crucial to boost the commercialisation of floating offshore wind farms. However, conventional techno-economic models oversimplify operation and maintenance (O&M) aspects, ...
