Automatic Fault Classification for Journal Bearings Using ANN and DNN

Automatic Fault Classification for Journal Bearings Using ANN and DNN

Journal bearings are the most common type of bearings in which a shaft freely rotates in a metallic sleeve. They find a lot of applications in industry, especially where extremely high loads are involved. Proper analysis of the various bearing faults and predicting the modes of failure beforehand ar...

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Bibliographic Details
Main Authors: Narendiranath Babu THAMBA, Arun ARAVIND, Abhishek RAKESH, Mohamed JAHZAN, Rama Prabha DURAISWAMY, Ramalinga Viswanathan MANGALARAJA
Format: Article
Language:English
Published: Institute of Fundamental Technological Research Polish Academy of Sciences 2018-10-01
Series:Archives of Acoustics
Subjects:
journal bearing
fault classification
artificial neural networks
deep neural networks
Online Access:https://acoustics.ippt.pan.pl/index.php/aa/article/view/2189
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