Reference no: EM132504973

Question 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

Question 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