Cargando…
Geometric Analysis of Signals for Inference of Multiple Faults in Induction Motors
Multiple fault identification in induction motors is essential in industrial processes due to the high costs that unexpected failures can cause. In real cases, the motor could present multiple faults, influencing systems that classify isolated failures. This paper presents a novel methodology for de...
Autores principales: | Contreras-Hernandez, Jose L., Almanza-Ojeda, Dora L., Ledesma, Sergio, Garcia-Perez, Arturo, Castro-Sanchez, Rogelio, Gomez-Martinez, Miguel A., Ibarra-Manzano, Mario A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003347/ https://www.ncbi.nlm.nih.gov/pubmed/35408236 http://dx.doi.org/10.3390/s22072622 |
Ejemplares similares
-
Artificial Intelligence to Analyze the Cortical Thickness Through Age
por: Ledesma, Sergio, et al.
Publicado: (2021) -
Analysis of the Cluster Prominence Feature for Detecting Calcifications in Mammograms
por: Cruz-Bernal, Alejandra, et al.
Publicado: (2018) -
Stokes Dynamic Polarimeter for Non-Organic and Organic Samples Characterization
por: Almanza-Ojeda, Dora-Luz, et al.
Publicado: (2022) -
Fault diagnosis of induction motors
por: Faiz, Jawad, et al.
Publicado: (2017) -
Quaternion-Based Signal Analysis for Motor Imagery Classification from Electroencephalographic Signals
por: Batres-Mendoza, Patricia, et al.
Publicado: (2016)