A REVIEW FOR MANIFOLD LEARNING-BASED STATISTICAL PROCESS CONTROL |
|---|
| Jianbo Yu |
- Abstract:
- This paper reviews manifold learning-based multivariate statistical process control (MSPC) in manufacturing processes. Manifold learning is powerful technique in data analysis, pattern recognition, datamining, data visualization, etc. Those algorithms have been used widely in many industrial applications (e.g., image procesing, visual analysis, pattern recognition) and obtains many successes. This paper discusses the current states and new trends of manifold learning-based MSPC to provide a guidance for applications ofmanifold learning in mafacturing process quality control.
- Keywords:
- multivariate statistical process control, manifold learning, quality control
- Download:
- IMEKO-TC14-2013-08.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC14
- Event name:
- TC14 ISMQC 2013
- Title:
11th International Symposium on Measurement and Quality Control
- Place:
- Cracow and Kielce, POLAND
- Time:
- 11 September 2013 - 13 September 2013