Distributed control and communication strategies in networked microgrids

Q Zhou, M Shahidehpour, A Paaso… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Networked microgrids (NMGs) provide a promising solution for accommodating various
distributed energy resources (DERs) and enhancing the system performance in terms of …

A review of fault tolerant control systems: advancements and applications

AA Amin, KM Hasan - Measurement, 2019 - Elsevier
In this paper, a comprehensive state-of-the-art review of Fault Tolerant Control Systems
(FTCS) is presented with the latest advances and applications. The overall aim of an FTCS …

Sensor-fault detection, isolation and accommodation for digital twins via modular data-driven architecture

H Darvishi, D Ciuonzo, ER Eide… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Sensor technologies empower Industry 4.0 by enabling integration of in-field and real-time
raw data into digital twins. However, sensors might be unreliable due to inherent issues …

Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review

M Tahan, E Tsoutsanis, M Muhammad, ZAA Karim - Applied energy, 2017 - Elsevier
With the privatization and intense competition that characterize the volatile energy sector,
the gas turbine industry currently faces new challenges of increasing operational flexibility …

A survey on active fault-tolerant control systems

A Abbaspour, S Mokhtari, A Sargolzaei, KK Yen - Electronics, 2020 - mdpi.com
Faults and failures in the system components are two main reasons for the instability and the
degradation in control performance. In recent decades, fault-tolerant control (FTC) …

Digitalisation and innovation in the steel industry in Poland—Selected tools of ICT in an analysis of statistical data and a case study

B Gajdzik, R Wolniak - Energies, 2021 - mdpi.com
Digital technologies enable companies to build cyber-physical systems (CPS) in Industry
4.0. In the increasingly popular concept of Industry 4.0, an important research topic is the …

Fault diagnosis of gas turbine based on partly interpretable convolutional neural networks

D Zhou, Q Yao, H Wu, S Ma, H Zhang - Energy, 2020 - Elsevier
The fault diagnosis of gas turbines plays a vital role in engine reliability and availability. The
data-driven diagnostic model has been verified useful for identifying and characterizing …

A review on gas turbine gas-path diagnostics: State-of-the-art methods, challenges and opportunities

AD Fentaye, AT Baheta, SI Gilani, KG Kyprianidis - Aerospace, 2019 - mdpi.com
Gas-path diagnostics is an essential part of gas turbine (GT) condition-based maintenance
(CBM). There exists extensive literature on GT gas-path diagnostics and a variety of …

A novel digital twin approach based on deep multimodal information fusion for aero-engine fault diagnosis

Y Huang, J Tao, G Sun, T Wu, L Yu, X Zhao - Energy, 2023 - Elsevier
Condition monitoring and fault diagnosis play an important role in the safety and reliability of
aero-engine. Digital twin (DT) technology, which can realize the fusion of physical space …

A novel wind speed-sensing methodology for wind turbines based on digital twin technology

Y Li, X Shen - IEEE Transactions on Instrumentation and …, 2021 - ieeexplore.ieee.org
Wind speed sensors of wind turbines are prone to suffer from performance degeneration or
even drastic failures due to their inherent issues or environmental influence, which directly …