A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances
S Khokhar, AABM Zin, ASB Mokhtar… - … and Sustainable Energy …, 2015 - Elsevier
The increasing trend towards renewable energy sources requires higher power quality (PQ)
at the generation, transmission and distribution systems. The PQ disturbances are produced …
at the generation, transmission and distribution systems. The PQ disturbances are produced …
Spike detection of disturbed power signal using VMD
A Viswanath, KJ Jose, N Krishnan, SS Kumar… - Procedia Computer …, 2015 - Elsevier
Most of the electronic equipments are susceptible to power disturbances. Transients are one
of the most damaging power disturbances among them. In this paper, a modern adaptive …
of the most damaging power disturbances among them. In this paper, a modern adaptive …
[HTML][HTML] Multiple harmonic-source classification using a self-organization feature map network with voltage–current wavelet transformation patterns
CH Huang, CH Lin - Applied Mathematical Modelling, 2015 - Elsevier
This paper proposes multiple harmonic-source classification using a Self-Organization
Feature Map (SOFM) network with voltage (V)–current (I) wavelet transformation patterns …
Feature Map (SOFM) network with voltage (V)–current (I) wavelet transformation patterns …
HOS network-based classification of power quality events via regression algorithms
JC Palomares Salas, JJ Gonzalez de la Rosa… - EURASIP Journal on …, 2015 - Springer
This work compares seven regression algorithms implemented in artificial neural networks
(ANNs) supported by 14 power-quality features, which are based in higher-order statistics …
(ANNs) supported by 14 power-quality features, which are based in higher-order statistics …
Using wavelet hybrid self-organizing feature map network for VI based multiple harmonic sources classification
CH Huang, CH Lin, CC Huang… - Applied Mechanics and …, 2015 - Trans Tech Publ
This paper proposes a method using non-linear voltage-current characteristics for multiple
harmonic sources classification using wavelet hybrid neural network (WHNN). Typical …
harmonic sources classification using wavelet hybrid neural network (WHNN). Typical …
[PDF][PDF] Transient analysis in non-linear systems through the Huang Hilbert Transform
A Baccigalupi, A Liccardo - Proceedings of 21st IMEKO World Congress …, 2015 - imeko.org
The paper deals with the use of the Huang Hilbert Transform (HHT) for the analysis of
transient signals in non linear circuits. Differently from traditional methods that decompose a …
transient signals in non linear circuits. Differently from traditional methods that decompose a …
[引用][C] Detection of Power Quality Disturbances Using Discrete Wavelet Transform [J]
BT Deshmukh, BE Kushare, PV Dhote - … Journal of Advanced Research in Electrical …, 2015