Cargando…
An Expert System for Rotating Machine Fault Detection Using Vibration Signal Analysis
Accurate and early detection of machine faults is an important step in the preventive maintenance of industrial enterprises. It is essential to avoid unexpected downtime as well as to ensure the reliability of equipment and safety of humans. In the case of rotating machines, significant information...
Autores principales: | Kafeel, Ayaz, Aziz, Sumair, Awais, Muhammad, Khan, Muhammad Attique, Afaq, Kamran, Idris, Sahar Ahmed, Alshazly, Hammam, Mostafa, Samih M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8617882/ https://www.ncbi.nlm.nih.gov/pubmed/34833662 http://dx.doi.org/10.3390/s21227587 |
Ejemplares similares
-
Expert Hypertension Detection System Featuring Pulse Plethysmograph Signals and Hybrid Feature Selection and Reduction Scheme
por: Khan, Muhammad Umar, et al.
Publicado: (2021) -
A New Statistical Features Based Approach for Bearing Fault Diagnosis Using Vibration Signals
por: Altaf, Muhammad, et al.
Publicado: (2022) -
BrainNet: Optimal Deep Learning Feature Fusion for Brain Tumor Classification
por: Zahid, Usman, et al.
Publicado: (2022) -
Vibration, acoustic, temperature, and motor current dataset of rotating machine under varying operating conditions for fault diagnosis
por: Jung, Wonho, et al.
Publicado: (2023) -
A Robust and Novel Approach for Brain Tumor Classification Using Convolutional Neural Network
por: Tazin, Tahia, et al.
Publicado: (2021)