Problem 1: Analysis & Synthesis of Literature: Analysis & synthesis of existing knowledge & related theory, Merits and limitations of existing literature, Peer- reviewed sources Relevant & up-to-date literature review, Research gap
Review critically appraises relevant literature. Provides comprehensive synthesis of ideas. Critique questions the evidence and claims presented.
Knowledge gap is rigorously justified
Problem 2: Principles & Methodology:
Description of principles & methodology: analytical, experimental, or simulation
Study design and methods are rigorously justified.
Provides strong evidence that shows how proposed study design & methods relate to previous studies.
Article 1: Detection and Classification of Power Quality Disturbances Using Wavelet Transform, Fuzzy Logic and Neural Network by L.C.Saikia, S.M.Borah and S.Pait
Article 2: Power quality disturbances classification based on S-transform and probabilistic neural network by Nantian Huang, Dianguo Xu, Xiaosheng Liu, Lin Lin
Article 3: Detection of Power Quality Disturbances Based on Adaptive Neural Net and Shannon Entropy Method by D. Kavitha, P. Renuga and M. Seetha Lakshmi
Article 4: Evaluation and Classification of Power Quality Disturbances Based on Discrete Wavelet Transform and Artificial Neural Networks