Detection and classification of bearing faults in industrial geared motors using temporal features and adaptive neuro-fuzzy inference system

This paper concerns the automatic diagnosis of ball bearing defects in industrial geared motor based on statistical indicators and the Adaptive Neuro-Fuzzy Inference System (ANFIS). The approach consists of three essential steps: the first is the extraction of statistical indicators from the root me...

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Detalles Bibliográficos
Autores principales: Abdelkrim, Choug, Meridjet, Mohamed Salah, Boutasseta, Nadir, Boulanouar, Lakhdar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6706590/
https://www.ncbi.nlm.nih.gov/pubmed/31463378
http://dx.doi.org/10.1016/j.heliyon.2019.e02046

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6706590/
https://www.ncbi.nlm.nih.gov/pubmed/31463378
http://dx.doi.org/10.1016/j.heliyon.2019.e02046

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