Zobrazeno 1 - 10
of 155
pro vyhledávání: '"Spilios D. Fassois"'
Publikováno v:
Machines, Vol 11, Iss 10, p 933 (2023)
The problem of the prompt detection of early-stage hollow worn wheels in railway vehicles via on-board random vibration measurements under normal operation and varying speeds is investigated. This is achieved based on two unsupervised statistical tim
Externí odkaz:
https://doaj.org/article/a9252ef9fad040f0ba39f454f2851bee
Publikováno v:
Vehicle System Dynamics. 60:3336-3357
The feasibility of automated railway track segment characterisation, as part of a broader track condition based maintenance procedure, is explored via railway–vehicle–based random vibration signals...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ae05e9b279cd5e76ae3ef2259345ba8
https://doi.org/10.1080/00423114.2021.1948079
https://doi.org/10.1080/00423114.2021.1948079
Publikováno v:
ASME 2022 Conference on Smart Materials, Adaptive Structures and Intelligent Systems.
The problem of random vibration based robust damage detection on operating wind turbine blade under variable natural excitation conditions is considered via multiple accelerometer sensors and three crack type damage scenarios. For this purpose four H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d57f671671929121311ec16e183cfdfe
https://doi.org/10.1115/smasis2022-90936
https://doi.org/10.1115/smasis2022-90936
Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9783031072574
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b8c0ee9f8268b204fec0b2457d40c29
https://doi.org/10.1007/978-3-031-07258-1_29
https://doi.org/10.1007/978-3-031-07258-1_29
Publikováno v:
Structural Health Monitoring. 20:456-474
The problem of random vibration–based robust damage detection for structures operating under varying and non-measurable environmental and operating conditions is considered via a novel unsupervised functional model–based method. Two versions of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da4ec60ba3afaa6388832c4ce9683701
https://doi.org/10.1177/1475921720930206
https://doi.org/10.1177/1475921720930206
Autor:
John S. Sakellariou, Alexandros Deloukas, Nikolaos Kaliorakis, Dimosthenis Kapiris, Ilias A. Iliopoulos, George Leoutsakos, Elias Chronopoulos, Georgios Vlachospyros, Spilios D. Fassois, Kiriakos Kritikakos, Elias Tountas, Christos Giannakis
Publikováno v:
Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT).
A bird’s–eye overview of the innovative, on–board and Multi–Purpose, random vibration based MAIANDROS Condition Monitoring system for railway vehicles and infrastructure is presented. The system includes Modules for Suspension Monitoring (SM)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30d16a6b950cc748de551b0166a18ce5
https://doi.org/10.1115/detc2021-70166
https://doi.org/10.1115/detc2021-70166
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 16
Sensors, Vol 21, Iss 5658, p 5658 (2021)
Sensors
Volume 21
Issue 16
Sensors, Vol 21, Iss 5658, p 5658 (2021)
The ability to exploit data for obtaining useful and actionable information and for providing insights is an essential element for continuous process improvements. Recognizing the value of data as an asset, marine engineering puts data considerations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f69692d439584053299e040c834346f
http://europepmc.org/articles/PMC8402427
http://europepmc.org/articles/PMC8402427
Publikováno v:
Structural Health Monitoring. 19:736-750
Random-vibration-based statistical time series structural health monitoring methods utilize small-scale, compact, and data-based, time series stochastic representations of the structural dynamics for damage diagnosis. In this study, a comprehensive a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd4edcd9daa840fecb4323e4773c8b17
https://doi.org/10.1177/1475921719862487
https://doi.org/10.1177/1475921719862487
On the On–Board Random Vibration–Based Detection of Hollow Worn Wheels in Operating Railway Vehicles
Autor:
A. Deloukas, John S. Sakellariou, Ilias A. Iliopoulos, K. Katsiana, C. Mamaloukakis, G. Leoutsakos, Georgios Vlachospyros, Spilios D. Fassois, E. Chronopoulos, Nikolaos Kaliorakis
Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9783030649074
The feasibility of on–board hollow worn wheel detection in railway vehicles moving under different speeds based on bogie random vibration signals, is for first time investigated in this study. Towards this end, two unsupervised Statistical Time Ser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1c7b6168eb25d4bccf757c8927c41bb
https://doi.org/10.1007/978-3-030-64908-1_45
https://doi.org/10.1007/978-3-030-64908-1_45
Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9783030649074
Damage detection on an operating wind turbine blade is, for three progressive scenarios of 15, 30, and 45 cm long trailing edge damage, considered via a single vibration acceleration sensor. The signals are from 3–month–long measurement campaign,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1f9b2279cf26632afccee057438080c
https://doi.org/10.1007/978-3-030-64908-1_38
https://doi.org/10.1007/978-3-030-64908-1_38