Results 61 to 70 of about 8,931,909 (216)

A Review of Fault‐Tolerant Control Applications in Process Equipment: Boilers, Heat Exchangers, Pumps, Turbines, and Engines for Greater Reliability

open access: yesEngineering Reports, Volume 8, Issue 9, September 2026.
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

open access: yesThe Journal of Engineering, 2019
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

Condition monitoring systems: a systematic literature review on machine-learning methods improving offshore-wind turbine operational management

open access: yesInternational Journal of Sustainable Energy, 2021
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 Comparative Hybrid Deep Learning Approach for Robust Stator–Rotor Fault Identification in DFIGs Using FFT‐Based Features and CNN–LSTM–Transformer Models Under Nonstationary Wind Turbulence

open access: yesEngineering Reports, Volume 8, Issue 9, September 2026.
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]

open access: yes, 2002
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

A Novel Dataset for Experimentation With Intrusion Detection Systems in SCADA Networks Using IEC 60870-5-104 Standard

open access: yesIEEE Access
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

open access: yesEnergy Science &Engineering, Volume 14, Issue 9, Page 4422-4437, September 2026.
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

open access: yesJournal of Electrical Systems and Information Technology
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

open access: yesThe Journal of Engineering, 2020
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

Tree‐Boost–Guided CNN–BiLSTM–Transformer for Solar Irradiance Forecasting: Cross‐Regional Evidence for Sustainable Energy Planning

open access: yesEnergy Science &Engineering, Volume 14, Issue 9, Page 4438-4469, September 2026.
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

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