Review on monitoring, operation and maintenance of smart offshore wind farms

L Kou, Y Li, F Zhang, X Gong, Y Hu, Q Yuan, W Ke - Sensors, 2022 - mdpi.com
In recent years, with the development of wind energy, the number and scale of wind farms
have been developing rapidly. Since offshore wind farms have the advantages of stable …

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 …

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 …

A novel deep reinforcement learning controller based type-II fuzzy system: Frequency regulation in microgrids

MH Khooban, M Gheisarnejad - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The high-penetration of distributed generation technologies in the form of MicroGrids (MGs),
in recent years, has increased the risk of frequency instability since their energy is supplied …

The role of renewable energy system in reshaping the electrical grid scenario

G Buticchi, CS Lam, R Xinbo, M Liserre… - IEEE Open Journal …, 2021 - ieeexplore.ieee.org
Renewable Energy Systems have been in the spotlight of the academic and industrial
research for more than two decades, thanks to the development of several fields related to …

ADRC-based robust and resilient control of a 5-phase PMSM driven electric vehicle

A Hezzi, S Ben Elghali, Y Bensalem, Z Zhou… - Machines, 2020 - mdpi.com
The selection of electric machines for an Electric Vehicle (EV) is mainly based on reliability,
efficiency, and robustness, which makes the 5-phase Permanent Magnet Synchronous …

A wavelet threshold denoising-based imbalance fault detection method for marine current turbines

Z Li, T Wang, Y Wang, Y Amirat, M Benbouzid… - IEEE …, 2020 - ieeexplore.ieee.org
Blade imbalance fault caused by the marine organisms is considered as the most important
fault in marine current turbines. Therefore, it is important to detect the fault accurately and …

The replacement of dysfunctional sensors based on the digital twin method during the cutter suction dredger construction process

B Wang, S Fan, Y Chen, L Zheng, H Zhu, Z Fang… - Measurement, 2022 - Elsevier
In practice, the construction environment of the cutter suction dredger (CSD) is inclement,
which results in a high frequency of the key parameter sensor failure. If the key parameter …

ν-gap metric based multi-model predictive control of an ocean current turbine system with blade pitch failures

EB Ondes, C Sultan, A Hasankhani, JH VanZwieten… - Ocean …, 2023 - Elsevier
In this article, a method of combining multiple linear models is developed and used by an
advanced model predictive control algorithm for ocean current turbine flight control. The …

Fault Estimation and Fault-Tolerant Control for Nonlinear Systems by T–S Fuzzy Model Method with Local Nonlinear Models

Y Wang, T Li, Y Wu, X Yang, CLP Chen, Y Long… - International Journal of …, 2021 - Springer
This paper investigates the problems of the observer-based fault estimation (FE) and fault-
tolerant control (FTC) for nonlinear systems subjected to external disturbances by the T–S …