The diagnostic performance and clinical value of deep learning-based nodule detection system concerning influence of location of pulmonary nodule [PDF]
Insights into Imaging, 2023 Background The deep learning-based nodule detection (DLD) system improves nodule detection performance of observers on chest radiographs (CXRs). However, its performance in different pulmonary nodule (PN) locations remains unknown. Methods We divided the
Seulgi You +10 more
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Reinforcement learning driven adaptive active frequency drift for fast and reliable islanding detection [PDF]
Scientific ReportsIslanding detection remains a critical challenge in grid-connected photovoltaic (PV) systems, as failure to detect islanding conditions can compromise power quality, safety, and system stability.
Ahmed G. Abo-Khalil +5 more
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A Survey of Islanding Detection Methods for Microgrids and Assessment of Non-Detection Zones in Comparison with Grid Codes [PDF]
Energies, 2022 Detection of unintentional islanding is critical in microgrids in order to guarantee personal safety and avoid equipment damage. Most islanding detection techniques are based on monitoring and detecting abnormalities in magnitudes such as frequency ...
José Antonio Cebollero +4 more
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Robust modified passive islanding detection for microgrids using mathematical morphology based dual algorithm [PDF]
Scientific ReportsThe integration of distributed generation (DG) in microgrids has brought the challenge of islanding detection, where a portion of the grid operates independently due to disconnection from the main utility.
Fayez F. M. El-Sousy +5 more
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An Effective Index for Islanding Detection Based on Fast Discrete S-Transform [PDF]
Advances in Electrical and Electronic Engineering, 2019 Passive methods of islanding detection have the advantage of not perturbing the system, but they suffer from large Non-Detection Zone (NDZ) and unpredictable detection time. In this paper, a new passive scheme for islanding detection, based on estimating
Solgun Salimi +2 more
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Intelligent islanding detection framework for smart grids using wavelet scalograms and HOG feature fusion [PDF]
Scientific ReportsUnintended islanding presents substantial operational and safety risks in modern electrical distribution networks, particularly as distributed generation (DG) sources increasingly match or nearly match local load requirements.
Kumaresh Pal +7 more
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Intelligent Islanding Detection of Microgrids Using Long Short-Term Memory Networks
Energies, 2021 This paper presents a new intelligent islanding detection scheme (IIDS) based on empirical wavelet transform (EWT) and long short-term memory (LSTM) network to identify islanding events in microgrids.
Syed Basit Ali Bukhari +3 more
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IET Renewable Power Generation, 2021 The quality of power in modern‐day power system is polluted with increased penetration of converter‐based distributed generations such as wind farm, solar PV system.
Sairam Mishra +3 more
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A Review of Islanding Detection Techniques for Inverter-Based Distributed Generation
Engineering Proceedings, 2023 The classical problem of islanding detection in distributed generation falls into the commonly used categories known as passive, active, and hybrid techniques. These approaches vary in terms of their accuracy, security, and dependability.
Muhammad Waleed Jalil +2 more
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IEEE Access, 2022 In this paper, a new and efficient passive islanding detection technique for a grid-connected hybrid distributed generating system has been proposed using Second Generation Wavelet Transform (SGWT) and Maximum Overlap Discrete Wavelet Transform (MODWT ...
B. Pangedaiah +4 more
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