Zobrazeno 1 - 10
of 16 302
pro vyhledávání: '"Scada"'
Fault detection of key parts of wind turbine based on BP neural network combination prediction model
Publikováno v:
Energy Informatics, Vol 7, Iss 1, Pp 1-20 (2024)
Abstract A BP neural network incorporated regression forecast technique based upon fragment swarm optimization (PSO) is proposed to design the state of crucial components of wind turbine so regarding realize mistake identification and detection. Firs
Externí odkaz:
https://doaj.org/article/6e73bc1706914b4c892998dc16b629cc
Publikováno v:
Wind Energy, Vol 27, Iss 11, Pp 1245-1267 (2024)
Abstract The power performance and the wind velocity field of an onshore wind farm are predicted with machine learning models and the pseudo‐2D RANS model, then assessed against SCADA data. The wind farm under investigation is one of the sites invo
Externí odkaz:
https://doaj.org/article/8c53a004e8e840ddb9465257d4d45659
Publikováno v:
Academy Journal of Science and Engineering, Vol 18, Iss 2, Pp 157-200 (2024)
This paper proposed the design of an Arduino based, low-cost fault detection system. Proteus simulation environment was used to design and simulate the fault detection circuit. The codes were written in Arduino Integrated Development Environment (IDE
Externí odkaz:
https://doaj.org/article/3742c5925ba94bc1a257e507936a22cf
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 14, Pp 2430-2439 (2024)
Abstract During operation, the smart grid is subject to different false data injection attacks (FDIA). If the different kinds of FDIAs and typical failures have been detected, the system operator can develop various defenses to protect the smart grid
Externí odkaz:
https://doaj.org/article/796d5e36d1424ca48d408804a5afce68
Publikováno v:
IET Smart Grid, Vol 7, Iss 5, Pp 503-530 (2024)
Abstract The development of smart grids, traditional power grids, and the integration of internet of things devices have resulted in a wealth of data crucial to advancing energy management and efficiency. Nevertheless, public datasets remain limited
Externí odkaz:
https://doaj.org/article/bf9960e9c017412da15e5532eebf7314
Publikováno v:
Глобальная ядерная безопасность, Vol 0, Iss 3, Pp 27-34 (2024)
The article shows the importance of additional information support for the NPP operation and emergency and crisis control centers involvement taking into account the safety of operation as the highest priority. Emergency control tools used at Russian
Externí odkaz:
https://doaj.org/article/793c38d8300644319e2d7a9791c2555d
Autor:
Bibars Amangeldy, Nurdaulet Tasmurzayev, Shona Shinassylov, Aksultan Mukhanbet, Yedil Nurakhov
Publikováno v:
Automation, Vol 5, Iss 3, Pp 343-359 (2024)
This study addresses the integration of machine learning (ML) with supervisory control and data acquisition (SCADA) systems to enhance predictive maintenance and operational efficiency in oil well monitoring. We investigated the applicability of adva
Externí odkaz:
https://doaj.org/article/a9afe83907764e178d959c3febaaaa41
Publikováno v:
Data in Brief, Vol 57, Iss , Pp 111192- (2024)
With the development of smart buildings, the risks of cyber-attacks against them have also increased. One of the popular and evolving protocols used for communication between devices in smart buildings, especially HVAC systems, is the BACnet protocol
Externí odkaz:
https://doaj.org/article/516d3d00022e4250a8f8e04d3b9e3fad
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 102921- (2024)
Accurate predictions for remaining useful life (RUL) of wind turbine drivetrains are crucial in reducing downtime, optimising maintenance strategies, extending operational life and improving costs. The purpose of this study is to present a method whi
Externí odkaz:
https://doaj.org/article/22d3f6fd6848476392caa8cc45631d40