Computation and Statistical Analysis of Bearings’ Time- and Frequency-Domain Features Enhanced Using Cepstrum Pre-Whitening: A ML- and DL-Based Classification

Computation and Statistical Analysis of Bearings’ Time- and Frequency-Domain Features Enhanced Using Cepstrum Pre-Whitening: A ML- and DL-Based Classification

Vibration signals captured with an accelerometer carry essential information about Rolling Element Bearings (REBs) faults in rotating machinery, and the envelope spectrum has proven to be a robust tool for their diagnosis at an early stage of development. In this paper, Cepstrum Pre-Whitening (CPW)...

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Bibliographic Details
Main Authors: David Cascales-Fulgencio, Eduardo Quiles-Cucarella, Emilio García-Moreno
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
condition monitoring of wind turbines
rolling element bearings
vibration analysis
envelope spectrum
cepstrum pre-whitening
time-domain features
Online Access:https://www.mdpi.com/2076-3417/12/21/10882

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https://www.mdpi.com/2076-3417/12/21/10882

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