Results 61 to 70 of about 8,931,909 (216)
The article explores ways such as ultrasonic guided wave testing, infrared thermography, acoustic emission, vibration analysis, and oil analysis to prevent faults from affecting the plant and help with fault isolation. It focuses on how FTC is combined with modern tools like Artificial Intelligence (AI), the Internet of Things (IoT), sliding mode ...
Arslan Ahmed Amin +4 more
wiley +1 more source
Solar PV plant for supplying ancillary services in distribution systems
The paper reports the latest practice in the field for solar PV integration in distribution grids in Denmark, where the communication capability of solar inverters is exploited for integrating the monitoring and control functions of solar inverters into ...
Guangya Yang +6 more
doaj +1 more source
Information is key. Offshore wind farms are installed with supervisory control and data acquisition systems (SCADA) gathering valuable information. Determining the precise condition of an asset is essential on achieving the expected operational lifetime ...
Innes Murdo Black +2 more
doaj +1 more source
A hybrid CNN–LSTM–Transformer framework with FFT‐based feature extraction enables accurate detection and severity estimation of stator and rotor faults in DFIGs under turbulent conditions, achieving over 94% accuracy for early‐stage fault diagnosis. Fault Diagnosis and Severity Estimation in Wind Turbines.
Mehdi Mohammadian Mehr +3 more
wiley +1 more source
SCADA systems and applications [PDF]
Bu tezin, veri tabanı üzerinden yayınlanma izni bulunmamaktadır. Yayınlanma izni olmayan tezlerin basılı kopyalarına Üniversite kütüphaneniz aracılığıyla (TÜBESS üzerinden) erişebilirsiniz.Fen Bilimleri Enstitüsü, Elektrik ve Elektronik Mühendisliği Ana ...
Tapu, Recep
core +1 more source
Supervisory Control and Data Acquisition (SCADA) systems, particularly Remote Terminal Units (RTUs), are vulnerable to cyber-attacks due to their limited computing resources.
M. Agus Syamsul Arifin +7 more
doaj +1 more source
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
Advanced supervisory and distributed control frameworks in modern industrial and energy applications
Supervisory Control and Data Acquisition (SCADA) systems have emerged as a highly effective technology for automating dynamic industrial and engineering processes.
Ahmed A. Abd Eltwab +1 more
doaj +1 more source
Design, build, and test drive a FSAE electric vehicle
This study presents a multidisciplinary end-to-end design, build, and test drive experience of a Formula Society of Automatic Engineers (FSAE) electric vehicle. The design team members’ background include computer engineering, electrical engineering, and
Kala Meah +2 more
doaj +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

