Open AccessA Condition Monitoring System Based On Dyadic Wavelet Transform Using Thermal Image
Author(s) -
S. Senthilraj,
N. R. Shanker
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j8900.0881019
Subject(s) - wavelet packet decomposition , wavelet , wavelet transform , stationary wavelet transform , second generation wavelet transform , discrete wavelet transform , harmonic wavelet transform , lifting scheme , artificial intelligence , entropy (arrow of time) , pattern recognition (psychology) , mathematics , image (mathematics) , standard deviation , computer science , algorithm , computer vision , statistics , physics , quantum mechanics
Wavelet analysis is broadly and effectively utilized in image processing and analysis. Because of the simple and fast algorithm, the dyadic wavelet transform has generally used. A dyadic wavelet transform gives an excellent output because of the different levels of the wavelet coefficient of the image. The proposed method presents an optimal value such as mean, standard deviation and entropy for the decomposition and reconstruction of the thermal image. The original results demonstrate which technique can find the induction motor faults clearly and effectively.