Proceedings ArticleDOI
Recognition of power quality disturbances using S-transform and rule-based decision tree
Om Prakash Mahela,Abdul Gafoor Shaik +1 more
- pp 1-6
TLDR
In this article, a method for recognition of power quality disturbances using Stockwell's transform has been presented, which includes voltage sag, swell, interruption, harmonics, notch, flicker, oscillatory transient, impulsive transient and spike.Abstract:
This paper presents a method for recognition of power quality disturbances using Stockwell's transform. Power quality disturbances are generated using MATLAB as per IEEE standards. Various features of signals are extracted from the multi-resolution analysis based on Stockwell's transform. These features are used to classify various power quality disturbances using the rule-based decision tree. It is observed that high efficiency of classification is achieved using S-transform based ruled decision tree. The investigated power quality disturbances include voltage sag, swell, interruption, harmonics, notch, flicker, oscillatory transient, impulsive transient and spike. Effectiveness of the proposed algorithm has been established by satisfactory results of various case studies.read more
Citations
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Journal ArticleDOI
Recognition of power quality disturbances using S-transform based ruled decision tree and fuzzy C-means clustering classifiers
TL;DR: A method based on Stockwell's transform and Fuzzy C-means clustering initialized by decision tree has been proposed for detection and classification of power quality (PQ) disturbances and is established effectively by results of high accuracy.
Journal ArticleDOI
Recognition of Complex Power Quality Disturbances Using S-Transform Based Ruled Decision Tree
TL;DR: This manuscript introduces an algorithm for identification of the complex nature PQ events in which it is supported by Stockwell’s transform (ST) and decision tree (DT) using rules and verified that the proposed approach can effectively be employed for design of the online complex PQ monitoring devices.
Journal ArticleDOI
Detection and classification of power quality disturbances in distribution networks based on VMD and DFA
TL;DR: A novel algorithm is proposed to detect and classify the power quality disturbances for distribution networks with distributed generation and provides an approach for online real-time detection of embedded systems.
Journal ArticleDOI
A Three Decades of Marvellous Significant Review of Power Quality Events Regarding Detection & Classification
TL;DR: A complete and inclusive study of power quality events, such as automatic classification and signal processing via creative techniques and the noises effect on the detection and classification of powerquality disturbances are revealed.
Journal ArticleDOI
Novel Fault Location for High Permeability Active Distribution Networks Based on Improved VMD and S-transform
TL;DR: In this article, a novel method of fault location for high-permeability active distribution network based on improved variational mode decomposition (IVMD) and S-transform is proposed.
References
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Journal ArticleDOI
Classification of power quality data using decision tree and chemotactic differential evolution based fuzzy clustering
TL;DR: A hybridization of BFOA (Bacterial Foraging Optimization Algorithm) with another very popular optimization technique of current interest called Differential Evolution (DE) is shown to overcome the problems of slow and premature convergence of B FOA and provide significant improvement in power signal pattern classification.