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van Ammers, Jeroen (author)Submodules are the building blocks for MMC-type HVDC converters and therefore of utmost importance for converter reliability. In order to unlock smarter maintenance strategies for submodule semiconductors, the technical condition of the semiconductors needs to be estimated to form a health index. Besides the non-project-specific traditional...master thesis 2023
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Verdoes, Max (author)Chain belt conveyors have become a popular choice for transporting materials in diverse industries. The primary driving force behind these conveyors is the gearmotor, which is composed of an electric motor and a gear unit. The industrial electric motor market is estimated to be 21 billion USD and consumes up to 70\% of the electricity by the...master thesis 2023
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Kruimer, Koen (author)This research analyses the potential of Electrical Signature Analysis (ESA) as a means for condition monitoring of mechanical defects of induction motor driven thruster assemblies in the maritime industry. This is done by measuring the three phase current and voltage of three thrusters, with different health conditions, of a marine vessel...master thesis 2023
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Yuan, S. (author), Reniers, G.L.L.M.E. (author), Yang, M. (author)An integrated approach for performance assessment and management of safety barriers in a systemic manner is needed concerning the prevention and mitigation of major accidents in chemical process industries. Particularly, the effects of safety barriers on system risk reduction should be assessed in a dynamic manner to support the decision-making...journal article 2023
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Garnacho, Fernando (author), Álvarez, Fernando (author), Elg, Alf Peter (author), Mier Escurra, C. (author), Lahti, Kari (author), Khamlichi, Abderrahim (author), Arcones, Eduardo (author), Klüss, Joni (author), Mor, A. R. (author)On-site partial discharge (PD) measurements have turned out to be a very efficient technique for determining the insulation condition in high-voltage electrical grids (AIS, cable systems, GIS, HVDC converters, etc.); however, there is not any standardised procedure for determining the performances of PD measuring systems. In on-line and on...journal article 2023
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Stone, Emilie (author), Giani, Stefano (author), Zappalá, D. (author), Crabtree, C.J. (author)Effective and timely health monitoring of wind turbine gearboxes and generators is essential to reduce the costs of operations and maintenance activities, especially offshore. This paper presents a scalable and lightweight convolutional neural network (CNN) framework using high-dimensional raw condition monitoring data for the automatic...journal article 2023
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Thakoerdajal, Nitesh (author)Highly-loaded low-speed roller bearings are frequently used in equipment offshore e.g. slew bearings in crane, sheave bearings and FPSO turret bearings. Reducing maintenance costs, increasing productivity, ensuring safety of people and structural integrity and longevity assurance of equipment can be achieved by the condition monitoring of highly...master thesis 2022
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Zhang, Y. (author), Avallone, F. (author), Watson, S.J. (author)In recent years, with the development of the wind power industry and the increase in the number of wind turbines, the condition monitoring of blades and the detection of damage are increasingly important. In this work, a new non-contact damage-detection approach is experimentally investigated based on the measurement of airfoil aerodynamic noise...journal article 2022
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Wang, H. (author), Hendriks, J.M. (author), Dollevoet, R.P.B.J. (author), Zoeteman, Arjen (author), Nunez, Alfredo (author)Aiming to handle the increasing variety and volume of railway infrastructure monitoring data, this paper explores the use of intelligent data fusion methods for automatic anomaly detection of railway catenaries. Three classical data dimensionality reduction methods, namely the principal component analysis (PCA), the autoencoder neural network,...conference paper 2022
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Scheeren, B. (author), Pahlavan, Lotfollah (author)This study presents an approach for the detection of evolving degradation in large-scale low-speed roller bearings by clustering of Acoustic Emission (AE) events, and its application to experimental degradation data. To acquire the latter, a purpose-built linear bearing, representative of a segment of a turret bearing, has been instrumented with...conference paper 2022
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Zappalá, D. (author), Tavner, Peter J. (author)Wind turbine technologies are evolving rapidly in terms of complexity and size and there is an urgent need for cost-effective Operations and Maintenance (O&M) strategies to increase the profitability of wind power assets.<br/><br/>Component reliability as well as maintenance strategies have the greatest effect on O&M planning and costs,...book chapter 2022
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Leoni, Leonardo (author), De Carlo, Filippo (author), Abaei, M.M. (author), BahooToroody, Ahmad (author)Thanks to the advances in the Internet of Things (IoT), Condition-based Maintenance (CBM) has progressively become one of the most renowned strategies to mitigate the risk arising from failures. Within any CBM framework, non-linear correlation among data and variability of condition monitoring data sources are among the main reasons that lead...journal article 2022
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Verma, Ayush (author)With growing wind energy capacity, especially offshore, reliability of wind turbines (WT) becomes a relevant concern. Poor reliability directly affects their cost effectiveness due to increased operation and maintenance ...master thesis 2021
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Coraddu, A. (author), Oneto, Luca (author), Cipollini, Francesca (author), Kalikatzarakis, Miltos (author), Meijn, Gert Jan (author), Geertsma, R.D. (author)Fast diesel engine models for real-time prediction in dynamic conditions are required to predict engine performance parameters, to identify emerging failures early on and to establish trends in performance reduction. In order to address these issues, two main alternatives exist: one is to exploit the physical knowledge of the problem, the...journal article 2021
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Liu, X. (author)Railway crossings are essential components of the railway track system that allow trains to switch from one track to another. Due to the complex wheel-rail interaction in the crossing panel, crossings are vulnerable elements of railway infrastructure and usually have short service lives. The crossing damage not only results in substantial...doctoral thesis 2020
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Eleftheroglou, N. (author)Prognostics is an emerging field of research that enables the real-time health assessment of an engineering system and the prediction of its future state based on up-to-date information. This field integrates various scientific disciplines including physics/mechanics, computational statistics and probabilistic modeling, machine learning and...doctoral thesis 2020
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Rootliep, Tim (author)In this thesis, a hybrid Gas Path Analysis (GPA) tool is developed for next-generation turbofan engine condition monitoring purposes at KLM Engine Services. The main drawback of these new engines is that fewer gas path sensors are installed. However, this is compensated by a greater quantity in-flight data, including information on bleed valves,...master thesis 2020
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Yagüe Martín, Adrian (author)Premature failures in large offshore Wind Turbines are often attributed to bearing failure despite gearboxes being designed and developed using the best bearing design practices. Furthermore, as turbine size and rated power increase, bearings display an enhanced tendency to fail. Unscheduled bearing replacement at sea is a complex, costly,...master thesis 2020
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Wang, H. (author)The condition monitoring of railway infrastructures is collecting big data for intelligent asset management. Making the most of the big data is a critical challenge facing the railway industry. This study focuses on one of the main railway infrastructures, namely the catenary (overhead line) system that transmits power to trains. To facilitate...conference paper 2020
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Wang, H. (author), Nunez, Alfredo (author), Liu, Zhigang (author), Zhang, Dongliang (author), Dollevoet, R.P.B.J. (author)The growing variety of data from condition monitoring of high-speed railways offer unprecedented opportunities to improve railway infrastructure maintenance. For condition monitoring of railway catenaries, this paper proposes a data-driven approach that uses a Bayesian network (BN) to integrate the inspection data from catenaries into a key...journal article 2020