A review of DC shipboard microgrids—Part II: Control architectures, stability analysis, and protection schemes
This article presents a review of coordinated control strategies, stability analysis, and fault
management for dc shipboard microgrids (dc-SMGs). As an emerging application, the dc …
management for dc shipboard microgrids (dc-SMGs). As an emerging application, the dc …
Fuzzy system based medical image processing for brain disease prediction
M Hu, Y Zhong, S Xie, H Lv, Z Lv - Frontiers in Neuroscience, 2021 - frontiersin.org
The present work aims to explore the performance of fuzzy system-based medical image
processing for predicting the brain disease. The imaging mechanism of NMR (Nuclear …
processing for predicting the brain disease. The imaging mechanism of NMR (Nuclear …
Flexible grounding system for single-phase to ground faults in distribution networks: a systematic review of developments
K Liu, S Zhang, B Li, C Zhang, B Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The neutral grounding method is one of the crucial technologies used to ensure the safe and
stable operation of distribution networks. With the development of power electronics-based …
stable operation of distribution networks. With the development of power electronics-based …
New transfer learning fault diagnosis method of rolling bearing based on ADC-CNN and LATL under variable conditions
C Huo, Q Jiang, Y Shen, C Qian, Q Zhang - Measurement, 2022 - Elsevier
Convolutional neural network with transfer learning are effective methods for rolling bearing
unsupervised learning fault diagnosis. In view of the problem that 1D-CNN cannot give full …
unsupervised learning fault diagnosis. In view of the problem that 1D-CNN cannot give full …
On-line detection and classification of PMSM stator winding faults based on stator current symmetrical components analysis and the KNN algorithm
P Pietrzak, M Wolkiewicz - Electronics, 2021 - mdpi.com
The significant advantages of permanent magnet synchronous motors, such as very good
dynamic properties, high efficiency and power density, have led to their frequent use in …
dynamic properties, high efficiency and power density, have led to their frequent use in …
Comparison of selected methods for the stator winding condition monitoring of a PMSM using the stator phase currents
P Pietrzak, M Wolkiewicz - Energies, 2021 - mdpi.com
Stator winding faults are one of the most common faults of permanent magnet synchronous
motors (PMSMs), and searching for methods to efficiently detect this type of fault and at an …
motors (PMSMs), and searching for methods to efficiently detect this type of fault and at an …
Arc fault protections for aeronautic applications: A review identifying the effects, detection methods, current progress, limitations, future challenges, and research …
JR Riba, M Moreno-Eguilaz… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Arc faults are serious discharges, damaging insulation systems, and triggering electrical
fires. This is a transversal topic, affecting from residential to aeronautic applications. Current …
fires. This is a transversal topic, affecting from residential to aeronautic applications. Current …
A novel data-driven mechanical fault diagnosis method for induction motors using stator current signals
M Sun, H Wang, P Liu, Z Long, J Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Most of the mechanical fault diagnosis methods of induction motors (IMs) are based on
vibration signals. However, vibration sensors are expensive and require direct contact with …
vibration signals. However, vibration sensors are expensive and require direct contact with …
Fault detection in dc microgrids using short-time fourier transform
Fault detection in microgrids presents a strong technical challenge due to the dynamic
operating conditions. Changing the power generation and load impacts the current …
operating conditions. Changing the power generation and load impacts the current …