An In-situ Machine Health Monitoring Method Against Operational Stress Conditions toward Deep Learning-Based Diagnosis : A Case Study of Direct-Energy Deposition
Cited 0 times in
Cited 0 times in
- Title
- An In-situ Machine Health Monitoring Method Against Operational Stress Conditions toward Deep Learning-Based Diagnosis : A Case Study of Direct-Energy Deposition
- Author
- Lee, Jinwoo
- Advisor
- Kim, Namhun
- Keywords
- In-situ monitoring; Deep learning; Operational stress condition; Direct energy deposition; Diagnosis
- Issue Date
- 2022-02
- Publisher
- Ulsan National Institute of Science and Technology
- Description
- Department of Mechanical Engineering
- URI
- Go to Link;
- Appears in Collections:
- MEN_Theses_Ph.D.
- Files in This Item:
- There are no files associated with this item.
can give you direct access to the published full text of this article. (UNISTARs only)
Show full item record
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.