English
Related papers

Related papers: Anomaly Detection in Offshore Wind Turbine Structu…

200 papers

Population-based structural health monitoring (PBSHM), aims to share information between members of a population. An offshore wind (OW) farm could be considered as a population of nominally-identical wind-turbine structures. However, benign…

Population-based Structural Health Monitoring (PBSHM) aims to share information between similar machines or structures. This paper takes a population-level perspective, exploring the use of additive Gaussian processes to reveal variations…

The prospect of informed and optimal decision-making regarding the operation and maintenance (O&M) of structures provides impetus to the development of structural health monitoring (SHM) systems. A probabilistic risk-based framework for…

Artificial Intelligence · Computer Science 2023-03-27 Aidan J. Hughes , Paul Gardner , Keith Worden

Structural health monitoring (SHM) strategies involve the processing of structural response data to indirectly assess an asset's condition. These strategies can be enhanced for a group of structures, especially when they are similar, since…

The application of reliable structural health monitoring (SHM) technologies to operational wind turbine blades is a challenging task, due to the uncertain nature of the environments they operate in. In this paper, a novel SHM methodology,…

Machine Learning · Computer Science 2021-01-29 Kartik Chandrasekhar , Nevena Stevanovic , Elizabeth J. Cross , Nikolaos Dervilis , Keith Worden

For civil structures, structural damage due to severe loading events such as earthquakes, or due to long-term environmental degradation, usually occurs in localized areas of a structure. A new sparse Bayesian probabilistic framework for…

Applications · Statistics 2015-07-02 Yong Huang , James L. Beck

Structural health monitoring (SHM) has been an active research area for the last three decades, and has accumulated a number of critical advances over that period, as can be seen in the literature. However, SHM is still facing challenges…

Machine Learning · Computer Science 2022-08-31 Tina A Dardeno , Lawrence A Bull , Robin S Mills , Nikolaos Dervilis , Keith Worden

Vibration-based Structural Health Monitoring (SHM) techniques are among the most common approaches for structural damage identification. The presence of damage in structures may be identified by monitoring the changes in dynamic behavior…

Image and Video Processing · Electrical Eng. & Systems 2018-04-11 Aral Sarrafi , Zhu Mao , Christopher Niezrecki , Peyman Poozesh

Offshore wind structures are subject to deterioration mechanisms throughout their operational lifetime. Even if the deterioration evolution of structural elements can be estimated through physics-based deterioration models, the…

Machine Learning · Computer Science 2026-05-08 N. Hlaing , Pablo G. Morato , F. d. N. Santos , W. Weijtjens , C. Devriendt , P. Rigo

An important challenge faced by wind farm operators is to reduce operation and maintenance cost. Structural health monitoring provides a means of cost reduction through minimising unnecessary maintenance trips as well as prolonging turbine…

Machine Learning · Computer Science 2023-10-17 W. Lin , K. Worden , E. J. Cross

Damage prognosis is, arguably, one of the most difficult tasks of structural health monitoring (SHM). To address common problems of damage prognosis, a population-based SHM (PBSHM) approach is adopted in the current work. In this approach…

Machine Learning · Computer Science 2024-09-30 George Tsialiamanis , Keith Worden , Nikolaos Dervilis , Aidan J Hughes

The global trends in the construction of modern structures require the integration of sensors together with data recording and analysis modules so that their integrity can be continuously monitored for safe-life, economic and ecological…

Signal Processing · Electrical Eng. & Systems 2025-04-08 M-A Torres-Arredondo , Julián Sierra-Pérez , Guénaël Cabanes

Population-Based Structural Health Monitoring (PBSHM), aims to leverage information across populations of structures in order to enhance diagnostics on those with sparse data. The discipline of transfer learning provides the mechanism for…

Machine Learning · Statistics 2024-10-03 Keith Worden , Tina A. Dardeno , Aidan J. Hughes , George Tsialiamanis

Reductions in natural frequency are often used as a damage indicator for structural health monitoring (SHM) purposes. However, fluctuations in operational and environmental conditions, changes in boundary conditions, and slight differences…

Machine Learning · Computer Science 2022-06-24 Tina A. Dardeno , Lawrence A. Bull , Nikolaos Dervilis , Keith Worden

The probabilistic design of offshore wind turbines aims to ensure structural safety in a cost-effective way. This involves conducting structural reliability assessments for different design options and considering different structural…

Applications · Statistics 2024-08-06 Hong Wang , Odin Gramstad , Styfen Schär , Stefano Marelli , Erik Vanem

Aggregated stochastic characteristics of geographically distributed wind generation will provide valuable information for secured and economical system operation in electricity markets. This paper focuses on the uncertainty set prediction…

Systems and Control · Electrical Eng. & Systems 2021-10-08 Xiaopeng Li , Jiang Wu , Zhanbo Xu , Kun Liu , Jun Yu , Xiaohong Guan

The lack of anomaly detection methods during mechanized tunnelling can cause financial loss and deficits in drilling time. On-site excavation requires hard obstacles to be recognized prior to drilling in order to avoid damaging the tunnel…

Signal Processing · Electrical Eng. & Systems 2024-01-22 Maximilian Trapp , Can Bogoclu , Tamara Nestorović , Dirk Roos

The identification of abnormal behaviour in mechanical systems is key to anticipate and avoid their potential failure. Thus wind turbine health is commonly assessed monitoring series of $10$-minute SCADA and high frequency data from…

Data Analysis, Statistics and Probability · Physics 2017-10-25 Pedro G. Lind , Luis Vera-Tudela , Matthias Wächter , Martin Kühn , Joachim Peinke

A major problem of structural health monitoring (SHM) has been the prognosis of damage and the definition of the remaining useful life of a structure. Both tasks depend on many parameters, many of which are often uncertain. Many models have…

Machine Learning · Computer Science 2022-08-19 G. Tsialiamanis , D. Wagg , N. Dervilis , K. Worden

Reliable real-time analysis of sensor data is essential for structural health monitoring (SHM) of high-value assets, yet a major challenge is to obtain spatially resolved full-field aleatoric and epistemic uncertainties for trustworthy…

Machine Learning · Computer Science 2025-12-04 Hanbin Cho , Jecheon Yu , Hyeonbin Moon , Jiyoung Yoon , Junhyeong Lee , Giyoung Kim , Jinhyoung Park , Seunghwa Ryu
‹ Prev 1 2 3 10 Next ›