Vibration-Based Wear Condition Estimation of Journal Bearings Using Convolutional Autoencoders

Vibration-Based Wear Condition Estimation of Journal Bearings Using Convolutional Autoencoders

Predictive maintenance is considered a proactive approach that capitalizes on advanced sensing technologies and data analytics to anticipate potential equipment malfunctions, enabling cost savings and improved operational efficiency. For journal bearings, predictive maintenance assumes critical sign...

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Bibliographic Details
Main Authors: Cihan Ates, Tobias Höfchen, Mario Witt, Rainer Koch, Hans-Jörg Bauer
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Sensors
Subjects:
vibration sensors
journal bearings
state space modeling
state trajectory
machine learning
convolution
Online Access:https://www.mdpi.com/1424-8220/23/22/9212

Internet

https://www.mdpi.com/1424-8220/23/22/9212

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