Zobrazeno 1 - 5
of 5
pro vyhledávání: '"DANIEL S. BRENNAN"'
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:
Proceedings of the 13th International Workshop on Structural Health Monitoring.
This paper is the second in a series in which the aim is to provide an underlying database technology for enabling the user interaction required for Population-Based Structural Health Monitoring (PBSHM). In the first paper in the series, the groundwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b03ea878c662491dde15c0b14759674e
https://doi.org/10.12783/shm2021/36342
https://doi.org/10.12783/shm2021/36342
Autor:
Chandula T. Wickramarachchi, Keith Worden, Daniel S. Brennan, Eoghan Maguire, Dustin Harvey, Elizabeth J. Cross, Weijiang Lin
Publikováno v:
Data Science in Engineering, Volume 9 ISBN: 9783030760038
Structural health monitoring (SHM) is a technique that assesses engineering structures online in order to identify damage and ultimately predict their remaining useful life. SHM therefore enables a more efficient maintenance and operational decision-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cab7d830454dc8c9b9f7c99d4580acc7
https://doi.org/10.1007/978-3-030-76004-5_1
https://doi.org/10.1007/978-3-030-76004-5_1
Publikováno v:
Conference Proceedings of the Society for Experimental Mechanics Series ISBN: 9783030771423
Population-based Structural Health Monitoring (PBSHM) considers grouping multiple structures into a single population, thus allowing additional insight to be gained from SHM feature data as a whole, compared to insights gained for any individual stru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d560457c674519573f65839690327a2
https://doi.org/10.1007/978-3-030-77143-0_3
https://doi.org/10.1007/978-3-030-77143-0_3
Publikováno v:
Data Science in Engineering, Volume 9 ISBN: 9783031041211
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1947e7210a6243b56ce07b178a0422a0
https://doi.org/10.1007/978-3-031-04122-8_13
https://doi.org/10.1007/978-3-031-04122-8_13