Data-Driven Condition Monitoring of a Hydraulic Press Using Supervised Learning and Neural Networks

Data-Driven Condition Monitoring of a Hydraulic Press Using Supervised Learning and Neural Networks

The automated evaluation of machine conditions is key for efficient maintenance planning. Data-driven methods have proven to enable the automated mapping of complex patterns in sensor data to the health state of a system. However, generalizable approaches for the development of such solutions in the...

Full description

Bibliographic Details
Main Authors: Faried Makansi, Katharina Schmitz
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Energies
Subjects:
condition monitoring
fault detection and diagnosis
industrial hydraulics
hydraulic press
supervised learning
neural networks
Online Access:https://www.mdpi.com/1996-1073/15/17/6217

Internet

https://www.mdpi.com/1996-1073/15/17/6217

Similar Items