Improving the Performance of Storage Tank Fault Diagnosis by Removing Unwanted Components and Utilizing Wavelet-Based Features

This paper proposes a reliable fault diagnosis model for a spherical storage tank. The proposed method first used a blind source separation (BSS) technique to de-noise the input signals so that the signals acquired from a spherical tank under two types of conditions (i.e., normal and crack condition...

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Detalles Bibliográficos
Autores principales: Tra, Viet, Duong, Bach-Phi, Kim, Jae-Young, Sohaib, Muhammad, Kim, Jong-Myon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7845777/
https://www.ncbi.nlm.nih.gov/pubmed/33266861
http://dx.doi.org/10.3390/e21020145

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7845777/
https://www.ncbi.nlm.nih.gov/pubmed/33266861
http://dx.doi.org/10.3390/e21020145

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