Zobrazeno 1 - 10
of 587
pro vyhledávání: '"Virtual sensing"'
Autor:
Hyeonah Shin, Seungin Oh, Yongbeom Cho, Jinyoung Kil, Byunyoung Chung, Jinwon Shin, Jin-Gyun Kim
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 9, Pp 3491-3500 (2024)
In this work, the hybrid vibro-acoustic model reduction technique that is a physical-modal combined formulation is proposed to accelerate the finite element model updating process of the vibro-acoustic pipeline system. Particularly, the new formulati
Externí odkaz:
https://doaj.org/article/a3c9eb1413734bddb0bdf9a5625c02dc
Publikováno v:
Franklin Open, Vol 8, Iss , Pp 100157- (2024)
The prediction of system responses for a given fatigue test bench drive signal is a challenging problem, since highly dynamic loads from measurement campaigns must be reproduced accurately. Linear frequency response function models are commonly used
Externí odkaz:
https://doaj.org/article/77670e0abdd14d7d88421191594d6827
Publikováno v:
Sensors, Vol 24, Iss 16, p 5237 (2024)
The engine in-cylinder pressure is a very important parameter for the optimization of internal combustion engines. This paper proposes an alternative recursive Kalman filter-based engine cylinder pressure reconstruction approach using sensor-fused en
Externí odkaz:
https://doaj.org/article/9af9939888b047f3bae17106d8c75267
Publikováno v:
Nuclear Engineering and Technology, Vol 55, Iss 7, Pp 2642-2649 (2023)
A real-time unmeasured dynamic response prediction process for the nuclear power plant pressure pipeline is proposed and its performance is tested in the test-loop system (KAERI). The aim of the process is to predict unmeasurable or unreachable dynam
Externí odkaz:
https://doaj.org/article/bd336ec7314e4bb5bd34c5557f0d8a94
Autor:
Lorenzo Ponticelli, Mario Barbaro, Geraldino Mandragora, Gianluca Pagano, Gonçalo Sousa Torres
Publikováno v:
Sensors, Vol 24, Iss 15, p 4846 (2024)
Nowadays, control is pervasive in vehicles, and a full and accurate knowledge of vehicle states is crucial to guarantee safety levels and support the development of Advanced Driver-Assistance Systems (ADASs). In this scenario, real-time monitoring of
Externí odkaz:
https://doaj.org/article/5046668f4f904fcc93e337b9abe8628e
Publikováno v:
Sensors, Vol 24, Iss 11, p 3354 (2024)
The techniques that allow one to estimate measurements at the unsensed points of a system are known as virtual sensing. These techniques are useful for the implementation of condition monitoring systems in industrial equipment subjected to high cycli
Externí odkaz:
https://doaj.org/article/38b918ea8c344ba29d700095e283dd80
Autor:
Nasim Partovi-Mehr, John DeFrancisci, Mohsen Minaeijavid, Babak Moaveni, Daniel Kuchma, Christopher D. P. Baxter, Eric M. Hines, Aaron S. Bradshaw
Publikováno v:
Sensors, Vol 24, Iss 10, p 3009 (2024)
Offshore wind-turbine (OWT) support structures are subjected to cyclic dynamic loads with variations in loadings from wind and waves as well as the rotation of blades throughout their lifetime. The magnitude and extent of the cyclic loading can creat
Externí odkaz:
https://doaj.org/article/39f74b144b744c50a1add2a362268a9f
Autor:
Lucia Sangiorgi, Veronica Sberveglieri, Claudio Carnevale, Sabrina De Nardi, Estefanía Nunez-Carmona, Sara Raccagni
Publikováno v:
Sensors, Vol 24, Iss 5, p 1396 (2024)
In recent years, the application of machine learning for virtual sensing has revolutionized the monitoring and management of information. In particular, electrochemical sensors generate large amounts of data, allowing the application of complex machi
Externí odkaz:
https://doaj.org/article/414dd039e06f4953925e44d7915f8a6f
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