DC microgrids: a propitious smart grid paradigm for smart cities

SS Rangarajan, R Raman, A Singh, CK Shiva… - Smart Cities, 2023 - mdpi.com
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 …

Development of intelligent fault-tolerant control systems with machine learning, deep learning, and transfer learning algorithms: a review

AA Amin, MS Iqbal, MH Shahbaz - Expert Systems with Applications, 2024 - Elsevier
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 …

[HTML][HTML] Real-time sensing and fault diagnosis for transmission lines

FM Shakiba, M Shojaee, SM Azizi, M Zhou - International Journal of …, 2022 - sciltp.com
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 …

Multisensor feature fusion for bearing fault diagnosis using sparse autoencoder and deep belief network

Z Chen, W Li - IEEE Transactions on instrumentation and …, 2017 - ieeexplore.ieee.org
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 …

A review of DC shipboard microgrids—Part II: Control architectures, stability analysis, and protection schemes

L Xu, JM Guerrero, A Lashab, B Wei… - … on Power Electronics, 2021 - ieeexplore.ieee.org
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 …

[HTML][HTML] A survey of fault prediction and location methods in electrical energy distribution networks

R Dashti, M Daisy, H Mirshekali, HR Shaker… - Measurement, 2021 - Elsevier
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 …

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 …

A systematic review on DC-microgrid protection and grounding techniques: Issues, challenges and future perspective

M Mishra, B Patnaik, M Biswal, S Hasan, RC Bansal - Applied Energy, 2022 - Elsevier
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 …

Data-based line trip fault prediction in power systems using LSTM networks and SVM

S Zhang, Y Wang, M Liu, Z Bao - Ieee Access, 2017 - ieeexplore.ieee.org
Power system faults are significant problems in power transmission and distribution.
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

MZ Yousaf, S Khalid, MF Tahir, A Tzes… - International Journal of …, 2023 - Elsevier
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 …