Novel computation methods for manufacturing process and machine component monitoring
Manufacturing industries across the world witnessing emergence of data driven decision making fueled by advanced sensor technology, efficient and robust back end analytics, and availability of powerful computing options. Prognostics and Health Management (PHM) is gaining traction for machine compone...
Published: |
|
---|---|
Online Access: | http://hdl.handle.net/2047/D20316386 |
Similar Items
-
Feeling Machine for Process Monitoring of Components with Stock Allowance
by: Berend Denkena, et al.
Published: (2021-03-01) -
Feeling Machine for Process Monitoring of Turning Hybrid Solid Components
by: Berend Denkena, et al.
Published: (2020-07-01) -
Advanced Characterization and On-Line Process Monitoring of Additively Manufactured Materials and Components
Published: (2023) -
Computational Methods in Design and Manufacturing Processes
by: Sutasn Thipprakmas, et al.
Published: (2019-01-01) -
Semiconductor Manufacturing Process Monitoring Using Machine Learning Control Chart
by: Wei-Ting Lin, et al.
Published: (2018)