A Condition Monitoring System Based on Dyadic Wavelet Transform Using Thermal Image
S. Senthilraj1, N. R. Shanker2
1S.Senthilraj, Department of ECE, PRIST University, Thanjavur, Tamil Nadu, India.
2N. R. Shanker, Professor Department of Electronics & Communication Engineering. Aalim Muhammed Salegh College of Engineering, IAF, Avadi, Chennai.
Manuscript received on 02 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 August 2019 | PP: 1669-1674 | Volume-8 Issue-10, August 2019 | Retrieval Number: J89000881019/2019©BEIESP | DOI: 10.35940/ijitee.J8900.0881019
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Thermal image, wavelet analysis, dyadic wavelet transform.
Scope of the Article: Thermal Engineering