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A systematic review of real-time detection and classification of power quality disturbances
This paper offers a systematic literature review of real-time detection and classification of
Power Quality Disturbances (PQDs). A particular focus is given to voltage sags and notches …
Power Quality Disturbances (PQDs). A particular focus is given to voltage sags and notches …
Short-term photovoltaic solar power forecasting using a hybrid Wavelet-PSO-SVM model based on SCADA and Meteorological information
Photovoltaic (PV) solar power generation is always associated with uncertainties due to
solar irradiance and other weather parameters intermittency. This creates a huge barrier in …
solar irradiance and other weather parameters intermittency. This creates a huge barrier in …
[HTML][HTML] In-depth investigation of speech emotion recognition studies from past to present The importance of emotion recognition from speech signal for AI
In the super smart society (Society 5.0), new and rapid methods are needed for speech
recognition, emotion recognition, and speech emotion recognition areas to maximize human …
recognition, emotion recognition, and speech emotion recognition areas to maximize human …
Real-time voltage sag detection and classification for power quality diagnostics
This work proposes an innovative approach to detect, segment and classify voltage sags
according to their causes. To detect and segment, Independent Component Analysis is …
according to their causes. To detect and segment, Independent Component Analysis is …
Fault classification in SEIG system using Hilbert-Huang transform and least square support vector machine
J Dalei, KB Mohanty - International Journal of Electrical Power & Energy …, 2016 - Elsevier
This paper presents the transient performance analysis of self excited induction generator
(SEIG) during both balanced and unbalanced faults using stationary frame d–q axis …
(SEIG) during both balanced and unbalanced faults using stationary frame d–q axis …
Locating the source of voltage sags: Full review, introduction of generalized methods and numerical simulations
Locating the source of voltage sags in order to identify the events causing the problem and
improving mitigation strategies is a major issue. When two utilities manage interconnected …
improving mitigation strategies is a major issue. When two utilities manage interconnected …
Distribution grid fault diagnostic employing Hilbert-Huang transform and neural networks
Faults in distribution grids cause power interruption and economic losses. A crucial part of
distribution grids protection systems is effectively diagnosing the fault to accelerate the …
distribution grids protection systems is effectively diagnosing the fault to accelerate the …
Overview of voltage dips detection analysis methods
Voltage dips are significant threat for distributed generation (DG) connected via grid-tie
inverter to the power system. Fast detection of voltage dips is essential for proper operation …
inverter to the power system. Fast detection of voltage dips is essential for proper operation …
[HTML][HTML] Recognition of voltage sag sources based on phase space reconstruction and improved VGG transfer learning
Y Pu, H Yang, X Ma, X Sun - Entropy, 2019 - mdpi.com
The recognition of the voltage sag sources is the basis for formulating a voltage sag
governance plan and clarifying the responsibility for the accident. Aiming at the recognition …
governance plan and clarifying the responsibility for the accident. Aiming at the recognition …
Abnormal brain detection and analysis of EEG signals
M Yakoubi, R Hamdi, MB Salah - … International Conference on …, 2018 - ieeexplore.ieee.org
The Electroencephalogram (EEG) is a representative signal enclosing information about the
function of the brain. EEG signals can be utilized to study an automatic diagnosis of …
function of the brain. EEG signals can be utilized to study an automatic diagnosis of …