Classification of PQ Disturbances in Induction Motor using Neuro-Fuzzy

Forfattere

  • Sridhar S
  • Uma Rao K.
  • Raksha Umesh
  • Harish K.S

Resumé

This paper presents a methodology of classification of PQ disturbances in the supply to induction motor using ANFIS. Wavelet transform is applied to the stator currents for the extraction of the signature indicating the variations in the supply. These wavelet coefficients are fed as input to ANFIS. This data has been divided into two sets: 37 training data set and 38 testing data set. The training data set has been used to train different adaptive neuro-fuzzy inference system (ANFIS) models and testing data set has been used to validate the models. The simulation is done using MATLAB/SIMULINK. The proposed network has performance efficiency of 93.34%.  Keywords: Adaptive neuro-fuzzy inference system, discrete wavelet transforms, induction motor, power quality, PQ disturbances

Downloads

Publiceret

2016-07-07

Nummer

Årg. 6 Nr. 2 (2016)

Sektion

Research Articles

Licens

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

·         I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.

·         I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).

·         I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.

·          I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

_______________

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.