Process Monitoring Based on Independent Component Analysis−Principal Component Analysis (ICA−PCA) and Similarity Factors
✍ Scribed by Ge, Zhiqiang; Song, Zhihuan
- Book ID
- 120216668
- Publisher
- American Chemical Society
- Year
- 2007
- Tongue
- English
- Weight
- 147 KB
- Volume
- 46
- Category
- Article
- ISSN
- 0888-5885
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Monodisperses polystyrenes (PS) with molecular weight ranging from 850 to 20 000 g mol-1 and with di †erent (M n ) butyl end-groups have been analysed by time-of-Ñight secondary ion mass spectrometry (ToF-SIMS). Only the Ðngerprint part of the spectra (m/z AE 200) has been considered. This part come
## Abstract The aim of this paper is to propose a novel real‐time process monitoring and fault diagnosis method based on the principal component analysis (PCA) and kernel Fisher discriminant analysis (KFDA). There is a need to develop this method in order to overcome the inherent limitations of the