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DC microgrids: a propitious smart grid paradigm for smart cities
Recent years have seen a surge in interest in DC microgrids as DC loads and DC sources
like solar photovoltaic systems, fuel cells, batteries, and other options have become more …
like solar photovoltaic systems, fuel cells, batteries, and other options have become more …
Development of intelligent fault-tolerant control systems with machine learning, deep learning, and transfer learning algorithms: a review
Abstract Intelligent Fault-Tolerant Control (IFTC) refers to the applications of machine
learning algorithms for fault diagnosis and design of Fault-Tolerant Control (FTC). The …
learning algorithms for fault diagnosis and design of Fault-Tolerant Control (FTC). The …
[HTML][HTML] Real-time sensing and fault diagnosis for transmission lines
Protection of high voltage transmission lines is one of the crucial problems in the power
system engineering. Accurate and timely detection and identification of transmission line …
system engineering. Accurate and timely detection and identification of transmission line …
Multisensor feature fusion for bearing fault diagnosis using sparse autoencoder and deep belief network
To assess health conditions of rotating machinery efficiently, multiple accelerometers are
mounted on different locations to acquire a variety of possible faults signals. The statistical …
mounted on different locations to acquire a variety of possible faults signals. The statistical …
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 …
[HTML][HTML] A survey of fault prediction and location methods in electrical energy distribution networks
One of the main factors that disrupt reliability and stop energy provision is the fault
occurrence in distribution networks. Thus, accurate and fast fault prediction and location in …
occurrence in distribution networks. Thus, accurate and fast fault prediction and location in …
Fault diagnosis of rolling bearings based on an improved stack autoencoder and support vector machine
M Cui, Y Wang, X Lin, M Zhong - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
In recent years, autoencoder has been widely used for the fault diagnosis of mechanical
equipment because of its excellent performance in feature extraction and dimension …
equipment because of its excellent performance in feature extraction and dimension …
A systematic review on DC-microgrid protection and grounding techniques: Issues, challenges and future perspective
This article presents an up-to-date systematic review of the status, progress, and upcoming
advancement regarding DC-microgrid. In recent years, the attention of researchers towards …
advancement regarding DC-microgrid. In recent years, the attention of researchers towards …
Data-based line trip fault prediction in power systems using LSTM networks and SVM
Power system faults are significant problems in power transmission and distribution.
Methods based on relay protection actions and electrical component actions have been put …
Methods based on relay protection actions and electrical component actions have been put …
[HTML][HTML] A novel dc fault protection scheme based on intelligent network for meshed dc grids
This paper proposes a fault detection and classification scheme for multi-terminal high
voltage direct current (MT-HVdc) lines by integrating discrete wavelet transform (DWT) multi …
voltage direct current (MT-HVdc) lines by integrating discrete wavelet transform (DWT) multi …