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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 variation
Externí odkaz:
http://arxiv.org/abs/2402.19295
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 service li
Externí odkaz:
http://arxiv.org/abs/2310.10555
Publikováno v:
Mechanical Systems and Signal Processing, Volume 200, 1 October 2023, 110581
Machine learning has affected the way in which many phenomena for various domains are modelled, one of these domains being that of structural dynamics. However, because machine-learning algorithms are problem-specific, they often fail to perform effi
Externí odkaz:
http://arxiv.org/abs/2307.09862
Publikováno v:
Mechanical Systems and Signal Processing 208 (2024) 111072
For situations that may benefit from information sharing among datasets, e.g., population-based SHM of similar structures, the hierarchical Bayesian approach provides a useful modelling structure. Hierarchical Bayesian models learn statistical distri
Externí odkaz:
http://arxiv.org/abs/2307.06263
Autor:
Lindley, C. A., Jones, M. R., Rogers, T. J., Cross, E. J., Dwyer-Joyce, R. S., Dervilis, N., Worden, K.
Publikováno v:
Mechanical Systems and Signal Processing 208:110958-110958 2024
It has been demonstrated that acoustic-emission (AE), inspection of structures can offer advantages over other types of monitoring techniques in the detection of damage; namely, an increased sensitivity to damage, as well as an ability to localise it
Externí odkaz:
http://arxiv.org/abs/2304.13457
Autor:
Bee, S. C., Papatheou, E., Haywood-Alexander, M, Mills, R. S., Bull, L. A., Worden, K., Dervilis, N.
There have been recent efforts to move to population-based structural health monitoring (PBSHM) systems. One area of PBSHM which has been recognised for potential development is the use of multi-task learning (MTL); algorithms which differ from tradi
Externí odkaz:
http://arxiv.org/abs/2303.04486
A major problem of machine-learning approaches in structural dynamics is the frequent lack of structural data. Inspired by the recently-emerging field of population-based structural health monitoring (PBSHM), and the use of transfer learning in this
Externí odkaz:
http://arxiv.org/abs/2302.07980
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 been deve
Externí odkaz:
http://arxiv.org/abs/2208.08666