[HTML][HTML] Energetics Systems and artificial intelligence: Applications of industry 4.0
Industrial development with the growth, strengthening, stability, technical advancement,
reliability, selection, and dynamic response of the power system is essential. Governments …
reliability, selection, and dynamic response of the power system is essential. Governments …
Fault detection, classification and location for transmission lines and distribution systems: a review on the methods
A comprehensive review on the methods used for fault detection, classification and location
in transmission lines and distribution systems is presented in this study. Though the three …
in transmission lines and distribution systems is presented in this study. Though the three …
Hybrid multi-mode machine learning-based fault diagnosis strategies with application to aircraft gas turbine engines
Y Shen, K Khorasani - Neural Networks, 2020 - Elsevier
In this work, a novel data-driven fault diagnostic framework is developed by using hybrid
multi-mode machine learning strategies to monitor system health status. The coexistence of …
multi-mode machine learning strategies to monitor system health status. The coexistence of …
A review of fault diagnosing methods in power transmission systems
Transient stability is important in power systems. Disturbances like faults need to be
segregated to restore transient stability. A comprehensive review of fault diagnosing …
segregated to restore transient stability. A comprehensive review of fault diagnosing …
Classification of disturbances and cyber-attacks in power systems using heterogeneous time-synchronized data
Visualization and situational awareness are of vital importance for power systems, as the
earlier a power-system event such as a transmission line fault or cyber-attack is identified …
earlier a power-system event such as a transmission line fault or cyber-attack is identified …
A novel equivalent model of active distribution networks based on LSTM
Dynamic behaviors of distribution networks are of great importance for the power system
analysis. Nowadays, due to the integration of the renewable energy generation, energy …
analysis. Nowadays, due to the integration of the renewable energy generation, energy …
Intelligent fault detection and classification schemes for smart grids based on deep neural networks
Effective fault detection, classification, and localization are vital for smart grid self-healing
and fault mitigation. Deep learning has the capability to autonomously extract fault …
and fault mitigation. Deep learning has the capability to autonomously extract fault …
Intelligent maximum power factor searching control using recurrent Chebyshev fuzzy neural network current angle controller for SynRM drive system
To develop a high-performance synchronous reluctance motor (SynRM) drive system, a
novel maximum power factor control (MPFC) using a current angle controller with stator …
novel maximum power factor control (MPFC) using a current angle controller with stator …
A novel fault classification scheme for series capacitor compensated transmission line based on bagged tree ensemble classifier
This paper presents a novel intelligent fault classification scheme for fixed series capacitor
compensated transmission line. The singular value decomposition principle is applied along …
compensated transmission line. The singular value decomposition principle is applied along …
A robust self-attentive capsule network for fault diagnosis of series-compensated transmission line
Although the use of a series capacitor increases the transmission line (TL) capacity, it inverts
the voltage/current and creates a sub-harmonic frequency that results in unintended …
the voltage/current and creates a sub-harmonic frequency that results in unintended …