Constructing a Reliable Health Indicator for Bearings Using Convolutional Autoencoder and Continuous Wavelet Transform

Constructing a Reliable Health Indicator for Bearings Using Convolutional Autoencoder and Continuous Wavelet Transform

Estimating the remaining useful life (RUL) of components is a crucial task to enhance reliability, safety, productivity, and to reduce maintenance cost. In general, predicting the RUL of a component includes constructing a health indicator () to infer the current condition of the component, and mode...

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Bibliographic Details
Main Authors:	Mohammadreza Kaji, Jamshid Parvizian, Hans Wernher van de Venn
Format:	Article
Language:	English
Published:	MDPI AG 2020-12-01
Series:	Applied Sciences
Subjects:	health indicator performance degradation assessment deep learning vibration monitoring bearing remaining useful life
Online Access:	https://www.mdpi.com/2076-3417/10/24/8948

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