"Probing an intelligent predictive maintenance approach with deep learning ..."

Changchun Liu et al. (2022)

> Home

Details and statistics

DOI: 10.1016/J.RCIM.2022.102357

access: closed

type: Journal Article

metadata version: 2025-03-03

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/rcim/LiuZTNZWS22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/rcim/LiuZTNZWS22
Changchun Liu, Haihua Zhu, Dunbing Tang, Qingwei Nie, Tong Zhou, Liping Wang, Yejia Song:
Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing. Robotics Comput. Integr. Manuf. 77: 102357 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.