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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2018-01-01
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Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201821117009 |