Results 71 to 80 of about 23,152 (228)
Desenvolvimento de um supervisório modular para uma célula flexível de manufatura [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia MecânicaEste trabalho tem o objetivo de propor e implementar um conjunto de instruções e procedimentos para integrar, de forma ...
Santos, Hugo Gaspar
core
PMU‐Based Wide Area Monitoring With Machine Learning to Prevent Blackouts in Bangladesh Power System
A Unified Real‐time Dynamic State Measurements (URTDSM) system with PMU and Phasor Data Concentrator (PDC) deployment plan has been proposed to avoid blackout in the Bangladeshi power system. Machine learning has been used to process data from PMU to identify abnormal events. ABSTRACT The electrical power system must be trustworthy and secure enough to
Imi Bintey Fariha Rahman +5 more
wiley +1 more source
Tool-supported vulnerability assessment for SCADA networks [PDF]
This thesis contributes to the information security of Supervisory Control and Data Acquisition Networks. It shows how to provide support for security audits to identify component-level vulnerabilities in SCADA networks. We have developed a novel process
Acharya, Vikal
core +1 more source
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif +5 more
wiley +1 more source
Cryptographic Considerations for Automation and SCADA Systems Using Trusted Platform Modules
The increased number of cyber threats against the Supervisory Control and Data Acquisition (SCADA) and automation systems in the Industrial-Internet-of-Things (IIoT) and Industry 4.0 era has raised concerns in respect to the importance of securing ...
Alexandra Tidrea +2 more
doaj +1 more source
Transmission Loss Prediction Using Neural Networks With Correlation‐Derived Input Features
A neural network model for transmission loss prediction is enhanced using correlation‐based derived features from operational and meteorological data. The approach improves prediction accuracy by capturing temporal behavior without increasing neural network architectural complexity.
Jovana Tuševljak, Željko Đurišić
wiley +1 more source
Presented at SCADA and related technologies for irrigation district modernization, II: a USCID water management conference held on June 6-9, 2007 in Denver, Colorado.In northeastern Colorado, water resources are under tremendous pressures brought about ...
Smith, Stephen W., author +2 more
core
ABSTRACT Due to their superior load density, planetary gear journal bearings (PGJB) are progressively replacing rolling element bearings in wind turbine gearboxes; therefore, accurately revealing the dynamic characteristics of drivetrains supported by these bearings under variable operating conditions is crucial for ensuring operational reliability ...
Pengcheng Jin +3 more
wiley +1 more source
Abstract Space weather risk assessment is constrained by the lack of available asset information needed to model geomagnetically induced currents (GICs) in electricity transmission infrastructure. We propose a systematic method that enables risk analysts to collect their own open‐source substation data.
Dennies K. Bor +6 more
wiley +1 more source
Benefits of SCADA systems with examples in agriculture [PDF]
The authors would like to draw attention to the increasing need for supervisory control software in agriculture and other industries. The possession and use of SCADA (Supervisory Control and Data Acquisition) software today has become a necessity.
Bugarski Vladimir +3 more
doaj

