Integrated Fault Detection Framework for Classifying Rotating Machine Faults Using Frequency Domain Data Fusion and Artificial Neural Networks

Integrated Fault Detection Framework for Classifying Rotating Machine Faults Using Frequency Domain Data Fusion and Artificial Neural Networks

The availability of complex rotating machines is vital for the prevention of catastrophic failures in a significant number of industrial operations. Reliability engineering theories stipulate that optimising the mean-time-to-repair (MTTR) for failed machines can immensely boost availability. In prac...

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Bibliographic Details
Main Authors: Kenisuomo C. Luwei, Akilu Yunusa-Kaltungo, Yusuf A. Sha’aban
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Machines
Subjects:
rotating machines
condition monitoring
data fusion
artificial neural networks
poly composite spectra
Online Access:https://www.mdpi.com/2075-1702/6/4/59

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https://www.mdpi.com/2075-1702/6/4/59

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