[HTML][HTML] Review of online learning for control and diagnostics of power converters and drives: Algorithms, implementations and applications

M Zhang, PI Gómez, Q Xu, T Dragicevic - Renewable and Sustainable …, 2023 - Elsevier
Power converters and motor drives are playing a significant role in the transition towards
sustainable energy systems and transportation electrification. In this context, rich diversity of …

Recent advancements in data-driven methodologies for the fault diagnosis and prognosis of marine systems: A systematic review

C Velasco-Gallego, BN De Maya, CM Molina… - Ocean …, 2023 - Elsevier
In recent years, there has been an interest increase in smart maintenance within the
shipping sector due to the benefits and opportunities associated with its implementation …

Wavelet-Seq2Seq-LSTM with attention for time series forecasting of level of dams in hydroelectric power plants

SF Stefenon, LO Seman, LS Aquino… - Energy, 2023 - Elsevier
Reservoir level control in hydroelectric power plants has importance for the stability of the
electric power supply over time and can be used for flood control. In this sense, this paper …

Wavelet LSTM for fault forecasting in electrical power grids

NW Branco, MSM Cavalca, SF Stefenon, VRQ Leithardt - Sensors, 2022 - mdpi.com
An electric power distribution utility is responsible for providing energy to consumers in a
continuous and stable way. Failures in the electrical power system reduce the reliability …

Hybrid energy storage power allocation strategy based on parameter-optimized VMD algorithm for marine micro gas turbine power system

Y Li, Z Ding, Y Yu, Y Liu - Journal of Energy Storage, 2023 - Elsevier
The power system onboard ships is typically a low-inertia, small-capacity isolated grid that is
highly susceptible to system disturbances and instability, especially when connected to high …

Data mining applications to fault diagnosis in power electronic systems: A systematic review

A Moradzadeh, B Mohammadi-Ivatloo… - … on Power Electronics, 2021 - ieeexplore.ieee.org
Early fault detection in power electronic systems (PESs) to maintain reliability is one of the
most important issues that has been significantly addressed in recent years. In this article …

Adaptation of a real-time deep learning approach with an analog fault detection technique for reliability forecasting of capacitor banks used in mobile vehicles

MA Rezaei, A Fathollahi, S Rezaei, J Hu… - IEEE …, 2022 - ieeexplore.ieee.org
The DC-Link capacitor is defined as the essential electronics element which sources or
sinks the respective currents. The reliability of DC-link capacitor-banks (CBs) encounters …

Digital twin modeling for hydropower system based on radio frequency identification data collection

Z Cai, Y Wang, D Zhang, L Wen, H Liu, Z Xiong… - Electronics, 2024 - mdpi.com
The safe and steady operation of hydropower generation systems is crucial for electricity
output in the grid. However, hydropower stations have complicated interior structures …

TL–LEDarcNet: Transfer Learning Method for Low-Energy Series DC Arc-Fault Detection in Photovoltaic Systems

Y Sung, G Yoon, JH Bae, S Chae - IEEE Access, 2022 - ieeexplore.ieee.org
The arc-fault phenomenon in photovoltaic (PV) systems has emerged as a major problem in
recent years. Existing studies on arc-fault detection in conventional PV systems primarily …

Incipient Fault Detection in Power Distribution System: A Time–Frequency Embedded Deep-Learning-Based Approach

Q Li, H Luo, H Cheng, Y Deng, W Sun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Incipient fault detection in power distribution systems is crucial to improve the reliability of
the grid. However, the nonstationary nature and the inadequacy of the training dataset due …