Multi pulse rectifier classification using scale selection wavelet & probabilistic neural network

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Three phase multi pulse rectifier classification using scale selection wavelet and probabilistic neural network is presented in this paper. The scale selection wavelet selectively perform continuous wavelet transform on the desired scales, which are determined by the scale frequency relationship to precisely locate each harmonic center frequency for harmonic analysis. Thus, the continuous wavelet transform selectively transform only the 16 characteristic harmonic frequencies of interest from 2nd to 25th order, which are required for three phase multi pulse rectifier classification. The 16 characteristic harmonic frequencies energy are used as the input vector to the probabilistic neural network to classify 5 types of three phase multi pulse rectifier including 3, 6, 12, 18 and 24 pulse converter. Various sets of harmonic distortion signals are used to evaluate the performance of these wavelet and neural network based classification system. The results show excellent performance in terms of high accuracy in classifying harmonic distortion caused by three phase multi pulse rectifier. These harmonic classification information serves as guideline to develop and optimize mitigation solution to reduce harmonic disturbance and resonance problem in the industry facility.

Original languageEnglish
Title of host publication2009 International Conference on Power Electronics and Drive Systems, PEDS 2009
Pages806-811
Number of pages6
DOIs
Publication statusPublished - 01 Dec 2009
Event2009 International Conference on Power Electronics and Drive Systems, PEDS 2009 - Taipei, Taiwan, Province of China
Duration: 02 Jan 200905 Jan 2009

Publication series

NameProceedings of the International Conference on Power Electronics and Drive Systems

Other

Other2009 International Conference on Power Electronics and Drive Systems, PEDS 2009
CountryTaiwan, Province of China
CityTaipei
Period02/01/0905/01/09

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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  • Cite this

    Tan, R. H. G., & Ramachandaramurthy, V. K. (2009). Multi pulse rectifier classification using scale selection wavelet & probabilistic neural network. In 2009 International Conference on Power Electronics and Drive Systems, PEDS 2009 (pp. 806-811). [5385786] (Proceedings of the International Conference on Power Electronics and Drive Systems). https://doi.org/10.1109/PEDS.2009.5385786