Proceedings ArticleDOI
Recognition of Power Quality events using S-transform based ANN classifier and rule based decision tree
Raj Kumar,Bhim Singh,D. T. Shahani,Ambrish Chandra,Kamal Al-Haddad +4 more
- pp 1-8
TLDR
This paper presents a technique for recognizing the single stage and multiple PQ (Power Quality) events using an algorithm based on ST (Stockwell's-Transform) and ANN (Artificial Neural Network) based classifier and a rule based decision tree.Abstract:
This paper presents a technique for recognizing the single stage and multiple PQ (Power Quality) events using an algorithm based on ST (Stockwell's-Transform) and ANN (Artificial Neural Network) based classifier and a rule based decision tree. The ST which combines elements of WT (Wavelet Transform) and STFT (Short-Time Fourier Transform) is used for the analysis of various single stage and multiple power quality events. Single stage PQ events such as sag, swell, interruption, harmonics, transients, notch, spike, flicker and multiple power quality events which include the harmonic disturbances with sag, swell, flicker and interruption are analyzed using the proposed algorithm. A data base of these events is generated in MATLAB as per IEEE-1159 standard. Significant features of various PQ events are extracted using the S-transform and are used as an input to this hybrid classifier. The results are presented for the effective recognition of the PQ events with the proposed algorithm.read more
Citations
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Journal ArticleDOI
Diagnosis of Power Quality Events Based on Detrended Fluctuation Analysis
TL;DR: Implementation of the proposed technique shows the effectiveness in differentiating PQ events distinctly without much involving conventional analytical tools that result in minimum computational burden as compared to the existing methods.
Journal ArticleDOI
A novel hybrid deep learning approach including combination of 1D power signals and 2D signal images for power quality disturbance classification
TL;DR: The proposed hybrid convolutional neural network method is a novel approach that covers the steps of an expert examining a signal and its classification performance is relatively high compared to other methods, the computational complexity is almost the same.
Journal ArticleDOI
Non-destructive building investigation through analysis of GPR signal by S-transform
P. Szymczyk,M. Szymczyk +1 more
TL;DR: In this article, one, two and three-dimensional S-transforms were used to look for sinkholes in geological structures, which can be used for cost-effective, non-destructive building investigation in order to ensure the high quality of the works and the detection of damage caused in building construction.
Proceedings ArticleDOI
Hilbert huang transform with fuzzy rules for feature selection and classification of power quality disturbances
TL;DR: This paper presents the detection and classification of power quality disturbances using Hilbert Huang transform (HHT) and fuzzy decision tree (FDT).
Proceedings ArticleDOI
Cause Based Analysis of Power Quality Disturbances in a Three Phase System
TL;DR: Different types of voltage sags have been investigated on the transmission side and on the distribution side due to occurring of the various types of line faults and underlying causes of this PQ disturbance analysis has been simulated and discussed with the need of linking these with the respective PQ disturbances.
References
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Journal ArticleDOI
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Book
Signal processing of power quality disturbances
Math Bollen,Irene Yu-Hua Gu +1 more
TL;DR: In this article, the authors present an overview of machine learning methods for event classification of power system events and their application in the context of power quality measurement and power quality metrics, such as voltage variation, frequency domain analysis and signal transformation.