Zobrazeno 1 - 10
of 592
pro vyhledávání: '"Keith Worden"'
Autor:
Antonios Kamariotis, Eleni Chatzi, Daniel Straub, Nikolaos Dervilis, Kai Goebel, Aidan J. Hughes, Geert Lombaert, Costas Papadimitriou, Konstantinos G. Papakonstantinou, Matteo Pozzi, Michael Todd, Keith Worden
Publikováno v:
Data-Centric Engineering, Vol 5 (2024)
To maximize its value, the design, development and implementation of structural health monitoring (SHM) should focus on its role in facilitating decision support. In this position paper, we offer perspectives on the synergy between SHM and decision-m
Externí odkaz:
https://doaj.org/article/8c51d08b3c0d4881b5590d36578b78ab
Publikováno v:
Data-Centric Engineering, Vol 5 (2024)
Population-based structural health monitoring (PBSHM) systems use data from multiple structures to make inferences of health states. An area of PBSHM that has recently been recognized for potential development is the use of multitask learning (MTL) a
Externí odkaz:
https://doaj.org/article/216eb2b0c94d4dd4a2fb3d9d49c86814
Autor:
Paulo Gonzaga, Henrik Toft, Keith Worden, Nikolaos Dervilis, Lars Bernhammer, Nevena Stevanovic, Alejandro Gonzales
Publikováno v:
Wind Energy, Vol 25, Iss 6, Pp 1060-1076 (2022)
Abstract Offshore wind power has been in the spotlight among renewable energy sources. The current trends of increased power ratings and longer blades come together with the aim to reduce energy costs by design optimisation. The standard approach to
Externí odkaz:
https://doaj.org/article/8d9cb3cf56a646f6b4fe6598e068f318
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
One of the major obstacles to the widespread uptake of data-based Structural Health Monitoring so far, has been the lack of damage-state data for the (mostly high-value) structures of interest. To address this issue, a methodology for sharing data an
Externí odkaz:
https://doaj.org/article/e0734267b69d4d949fd0044b4aeafa13
Publikováno v:
Data-Centric Engineering, Vol 3 (2022)
Sensor placement optimization (SPO) is usually applied during the structural health monitoring sensor system design process to collect effective data. However, the failure of a sensor may significantly affect the expected performance of the entire sy
Externí odkaz:
https://doaj.org/article/1810245d222443cbac5bd55e93cfb5df
Publikováno v:
Data-Centric Engineering, Vol 3 (2022)
Population-based structural health monitoring (PBSHM) provides a means of accounting for inter-turbine correlations when solving the problem of wind farm anomaly detection. Across a wind farm, where a group of structures (turbines) is placed in close
Externí odkaz:
https://doaj.org/article/fbf2a961e433495f9baba40b530675e0
Publikováno v:
Materials, Vol 16, Iss 4, p 1619 (2023)
Structural health monitoring of riveted aircraft panels is a real challenge for maintenance engineers. Here, a diffused Lamb wave field is used for fatigue-crack detection in a multi-riveted strap-joint aircraft panel. The panel is instrumented with
Externí odkaz:
https://doaj.org/article/6f4665b3c30442b2887281cf4172888e
Autor:
Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Robin S. Mills, Purim Ladpli, Timothy J. Rogers
Publikováno v:
Sensors, Vol 23, Iss 1, p 185 (2022)
Ultrasonic guided waves offer a convenient and practical approach to structural health monitoring and non-destructive evaluation. A key property of guided waves is the fully defined relationship between central frequency and propagation characteristi
Externí odkaz:
https://doaj.org/article/1f9d88a1366847e9a2d420a3dd8a2f55
Publikováno v:
Data-Centric Engineering, Vol 2 (2021)
A framework is proposed for generative models as a basis for digital twins or mirrors of structures. The proposal is based on the premise that deterministic models cannot account for the uncertainty present in most structural modeling applications. T
Externí odkaz:
https://doaj.org/article/bbebbe1be9dd4a148205c44b4487121a
Autor:
Keith Worden, Lawrence A. Bull, Paul Gardner, Julian Gosliga, Timothy J. Rogers, Elizabeth J. Cross, Evangelos Papatheou, Weijiang Lin, Nikolaos Dervilis
Publikováno v:
Frontiers in Built Environment, Vol 6 (2020)
One of the main problems in data-based Structural Health Monitoring (SHM), is the scarcity of measured data corresponding to damage states in the structures of interest. One approach to solving this problem is to develop methods of transferring healt
Externí odkaz:
https://doaj.org/article/5339ca2873814118bdb2ef8f179d6bfc