Searched for: subject%3A%22Condition%255C+monitoring%22
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Muxica, Diego (author), Rivera, Sebastian (author), Orchard, Marcos E. (author), Ahumada, Constanza (author), Jaramillo, Francisco (author), Bravo, Felipe (author), Gutiérrez, José M. (author), Astroza, Rodrigo (author)
This paper presents the design, implementation, and validation of an on-blade sensor system for remote vibration measurement for low-capacity wind turbines. The autonomous sensor system was deployed on three wind turbines, with one of them operating in harsh weather conditions in the far south of Chile. The system recorded the acceleration...
journal article 2024
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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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Al-Sabaeei, Abdulnaser M. (author), Souliman, Mena I. (author), Jagadeesh, A. (author)
Pavement condition monitoring (PCM) systems are essential for making decisions on road maintenance and rehabilitation toward preserving roads and airports assets in a good performance for a longer time. Modern smartphones are equipped with adequate storage, computing and communication properties, besides built-in sensors that show an...
review 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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Dong, Y. (author), Chen, Kejia (author), Ma, Zhiyuan (author)
Condition-based maintenance is becoming increasingly important in hydraulic systems. However, anomaly detection for these systems remains challenging, especially since that anomalous data is scarce and labeling such data is tedious and even dangerous. Therefore, it is advisable to make use of unsupervised or semi-supervised methods, especially...
conference paper 2023
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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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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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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&amp;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&amp;M planning and costs,...
book chapter 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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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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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
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Shen, C. (author), Li, Z. (author), Dollevoet, R.P.B.J. (author)
Railway crossings are critical components in the rail network. They usually degrade faster than the other components. It is therefore vital to monitor their conditions using appropriate methods. This paper proposes to use the ambient vibration caused by the train-track interaction from a distance to monitor the condition of railway crossings....
conference paper 2020
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Liu, X. (author), Markine, V.L. (author)
This paper presents a correlation analysis of the structural dynamic responses and weather conditions of a railway crossing. Prior to that, the condition monitoring of the crossing as well as the indicators for crossing condition assessment are briefly introduced. In the correlation analysis, strong correlations are found between acceleration...
journal article 2019
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Wang, H. (author), Liu, Zhigang (author), Nunez, Alfredo (author), Dollevoet, R.P.B.J. (author)
The condition-based maintenance of high-speed railway catenary is an important task to ensure the continuous availability of train power supply. To improve the condition monitoring of catenary, this paper presents a novel scheme to detect catenary local irregularities using pantograph head acceleration measurements. First, a series of...
journal article 2019
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Kerst, S.M.A.A. (author), Shyrokau, B. (author), Holweg, E.G.M. (author)
Bearing load estimation would form a valuable addition to the fields of condition monitoring and system control. Despite effort spend on its development by all major bearing manufacturers no product solution has come to market yet. This can be attributed to both the complexity in conditioning of the strain measurement as well as its non...
journal article 2019
Searched for: subject%3A%22Condition%255C+monitoring%22
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