A critical analysis of methodologies for detection and classification of power quality events in smart grid
Recently, power quality (PQ) issues have drawn considerable attention of the researchers
due to the increasing awareness of the customers towards power quality. The PQ issues …
due to the increasing awareness of the customers towards power quality. The PQ issues …
Classification of power quality events–a review
Power quality (PQ) interest has increasingly evolved over the past decade. The paper
surveys the application of signal processing, intelligent techniques and optimization …
surveys the application of signal processing, intelligent techniques and optimization …
Classification of emotional states from electrocardiogram signals: a non-linear approach based on hurst
Background Identifying the emotional state is helpful in applications involving patients with
autism and other intellectual disabilities; computer-based training, human computer …
autism and other intellectual disabilities; computer-based training, human computer …
Real-time system for automatic detection and classification of single and multiple power quality disturbances
It is known that the quality of power has been the subject of several researches aiming to
provide relevant information to users of electrical systems that are becoming increasingly …
provide relevant information to users of electrical systems that are becoming increasingly …
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 …
Emotion recognition from facial EMG signals using higher order statistics and principal component analysis
Higher order statistics (HOS) is an efficient feature extraction method used in diverse
applications such as bio signal processing, seismic data processing, image processing …
applications such as bio signal processing, seismic data processing, image processing …
A method based on independent component analysis for single and multiple power quality disturbance classification
This paper proposes a method based on single channel independent component analysis
for single and multiple power quality disturbance classification. The proposed method …
for single and multiple power quality disturbance classification. The proposed method …
High-impedance fault modeling and classification in power distribution networks
This work presents a novel method for the classification of high-impedance faults (HIFs) in
power distribution networks based on the association of higher-order statistics (HOS) and a …
power distribution networks based on the association of higher-order statistics (HOS) and a …
Hybrid demodulation concept and harmonic analysis for single/multiple power quality events detection and classification
A novel real-time analysis of power quality (PQ) events has been presented using amplitude
and frequency demodulation concepts. The earlier techniques were analyzing the few …
and frequency demodulation concepts. The earlier techniques were analyzing the few …
Sample-by-sample Power Quality Disturbance classification based on Sliding Window Recursive Discrete Fourier Transform
Abstract Power Quality Disturbances (PQDs) are caused by large-scale grid connections of
nonlinear loads and Distributed Generations (DG). They affect the electrical and electronics …
nonlinear loads and Distributed Generations (DG). They affect the electrical and electronics …