Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Alarm analysis"'
Publikováno v:
Nuclear Engineering and Technology, Vol 55, Iss 12, Pp 4408-4425 (2023)
Alarm flood due to abnormality propagation is the most difficult alarm overloading problem in nuclear power plants (NPPs). Root-cause analysis is suggested to help operators in understand emergency events and plant status. Multilevel Flow Modeling (M
Externí odkaz:
https://doaj.org/article/8e7a34b43c6f406aac71431c085331ad
Autor:
Gianluca Manca, Alexander Fay
Publikováno v:
IEEE Access, Vol 9, Pp 46851-46873 (2021)
This paper aims to provide an in-depth study of the detection of historical alarm subsequences, which are frequently used as an initial step for alarm flood analysis methods. Therefore, state-of-the-art approaches are comprehensively examined, evalua
Externí odkaz:
https://doaj.org/article/fdc2fa44524d4ac6b4e07c671440d980
Publikováno v:
IEEE Access, Vol 9, Pp 154965-154974 (2021)
Alarm flood similarity analysis (AFSA) methods are frequently used as a primary step for root-cause analysis, alarm flood pattern mining, and online operator support. AFSA methods have been promoted in several research activities in recent years. How
Externí odkaz:
https://doaj.org/article/141d40dec0854c39b15ace30a9ac041e
Akademický článek
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Akademický článek
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Publikováno v:
Dianxin kexue, Vol 29, Pp 132-135 (2013)
Abstract:As the standardization,refined and integrated development of information communication network management,communication network monitoring is faced with massive network alarm information that has brought new challenges to the network alarm m
Externí odkaz:
https://doaj.org/article/fd19780a63e5459d8442240d5e589e85
Publikováno v:
Industrial & Engineering Chemistry Research. 59:20045-20057
Process alarm systems and process monitoring play a significant role in ensuring stability and safety in industrial production. The continual increase in the complexity and scale of industrial proc...
Publikováno v:
VISIKES: Jurnal Kesehatan Masyarakat. 20
Introduction: The hospital is a place that is quite prone to fire hazards. Ernaldi Bahar has various characteristics of activities that have the potential to cause fires such as medical and administrative activities that use electrical installations
Publikováno v:
26th Optoelectronics and Communications Conference.
We review applications of machine learning (ML) in optical layer failure management, including alarm analysis, failure prediction, failure detection, failure diagnosis, and failure location driven by various algorithms from ML communities.
Publikováno v:
ECC
In large-scale industrial plants, alarm management system (AMS) has a critical role in safety and efficiency of the plant. High degree of connectivity in large-scale plants results in high degree of dependencies between the generated alarms, and thus