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An Explainable AI-Based Fault Diagnosis Model for Bearings

In this paper, an explainable AI-based fault diagnosis model for bearings is proposed with five stages, i.e., (1) a data preprocessing method based on the Stockwell Transformation Coefficient (STC) is proposed to analyze the vibration signals for variable speed and load conditions, (2) a statistical...

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Detalles Bibliográficos
Autores principales:	Hasan, Md Junayed, Sohaib, Muhammad, Kim, Jong-Myon
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8231543/ https://www.ncbi.nlm.nih.gov/pubmed/34199163 http://dx.doi.org/10.3390/s21124070

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