Comparison of machine learning models based on time domain and frequency domain features for faults diagnosis in rotating machines

The development of technologies for the maintenance industry has taken an important role to meet the demanding challenges. One of the important challenges is to predict the defects, if any, in machines as early as possible to manage the machines downtime. The vibration-based condition monitoring (VC...

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Bibliographic Details
Main Authors: Espinoza Sepulveda Natalia, Sinha Jyoti
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201821117009