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 (<inline-formula><math display="inline"&g...

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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

Internet

https://www.mdpi.com/2076-3417/10/24/8948

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