z-logo
open-access-imgOpen Access
Development of Autoencoder-Based Status Diagnosis Method for Ball Bearing Tribology Status Monitoring
Author(s) -
Ren-Chi Cheng,
KuoShen Chen,
YunHui Liu,
Lien-Kai Chang,
MiChing Tsai
Publication year - 2021
Language(s) - Uncategorized
Resource type - Conference proceedings
DOI - 10.12792/iciae2021.011
Subject(s) - computer science , bearing (navigation) , autoencoder , ball (mathematics) , artificial intelligence , accelerometer , microphone , condition monitoring , ball bearing , machine learning , pattern recognition (psychology) , engineering , deep learning , mechanical engineering , lubrication , mathematical analysis , telecommunications , mathematics , sound pressure , electrical engineering , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom