Zobrazeno 1 - 10
of 131
pro vyhledávání: '"Andrew Starr"'
Publikováno v:
IEEE Access, Vol 11, Pp 28724-28734 (2023)
Prognosis is a challenging technology that aims to accurately predict and estimate the remaining useful life of a component or system in order to enhance its reliability and performance. Although prognosis research for predictive maintenance is a wel
Externí odkaz:
https://doaj.org/article/40c45055ca0940bb8006b12665ac721d
Publikováno v:
Metals, Vol 14, Iss 3, p 336 (2024)
Aluminium alloys have been integral to numerous engineering applications due to their favourable strength, weight, and corrosion resistance combination. However, the performance of these alloys in coastal environments is a critical concern, as the in
Externí odkaz:
https://doaj.org/article/48a17cef0f7041638972ddd70d195eb1
Publikováno v:
Materials, Vol 16, Iss 21, p 6833 (2023)
The fatigue crack growth rate (FCGR) of aluminium alloys under the combined influence of temperature and humidity remains a relatively unexplored area, receiving limited attention due to its intricate nature and challenges in predicting the combined
Externí odkaz:
https://doaj.org/article/67d0420277474a9e9502f52b0f0f5044
Publikováno v:
Symmetry, Vol 15, Iss 11, p 1989 (2023)
Human health monitoring (HHM) is essential for continued daily task execution, as is structural health monitoring (SHM) for structures to ensure the continual performance of their designed tasks with optimal efficiency. The existence of damage in a s
Externí odkaz:
https://doaj.org/article/078026778ef94e8ba653aa9ceaad9329
Publikováno v:
Sensors, Vol 23, Iss 20, p 8419 (2023)
Crack propagation is a critical phenomenon in materials science and engineering, significantly impacting structural integrity, reliability, and safety across various applications. The accurate prediction of crack propagation behavior is paramount for
Externí odkaz:
https://doaj.org/article/b1cc172ab0be4dc0aafdacb9df5ac983
Publikováno v:
Applied Sciences, Vol 13, Iss 12, p 7212 (2023)
Crack propagation in materials is a complex phenomenon that is influenced by various factors, including dynamic load and temperature. In this study, we investigated the performance of different machine learning models for predicting crack propagation
Externí odkaz:
https://doaj.org/article/947c6e2d2afa44939075e132ad5fa8c8
Autor:
Miftahur Rahman, Haochen Liu, Isidro Durazo Cardenas, Andrew Starr, Amanda Hall, Robert Anderson
Publikováno v:
Applied Sciences, Vol 13, Iss 11, p 6484 (2023)
Inspection and repair interventions play vital roles in the asset management of railways. Autonomous mobile manipulators possess considerable potential to replace humans in many hazardous railway track maintenance tasks with high efficiency. This pap
Externí odkaz:
https://doaj.org/article/316f12cdf4144dc7b509346217f84347
Publikováno v:
Materials, Vol 16, Iss 11, p 4066 (2023)
The combined effect of temperature and humidity on the fracture toughness of aluminium alloys has not been extensively studied, and little attention has been paid due to its complexity, understanding of its behaviour, and difficulty in predicting the
Externí odkaz:
https://doaj.org/article/d516d468bed24cabae1cced8c61b6f21
Publikováno v:
Machines, Vol 11, Iss 2, p 163 (2023)
An aircraft engine is expected to have a high-reliability system as a safety-critical asset. A scheduled maintenance strategy based on statistical calculation has been employed as the current practice to achieve the reliability requirement. Any impro
Externí odkaz:
https://doaj.org/article/e0c4e291234b483dbd527dfff5f7e4b9
Publikováno v:
Sensors, Vol 23, Iss 3, p 1074 (2023)
Machine learning has the potential to enhance damage detection and prediction in materials science. Machine learning also has the ability to produce highly reliable and accurate representations, which can improve the detection and prediction of damag
Externí odkaz:
https://doaj.org/article/39e57f875fdf4b8ea7f467cf5359f99a