## Abstract Multivariate statistical process control (MSPC) was for the first time applied to analyse data from a bioprocess onβline multiβanalyser system consisting of an electronic nose (EN), a nearβinfrared spectroscope (NIRS), a mass spectrometer (MS) and standard bioreactor probes. One hundred
Statistical-based monitoring of multivariate non-Gaussian systems
β Scribed by Xueqin Liu; Lei Xie; Uwe Kruger; Tim Littler; Shuqing Wang
- Publisher
- American Institute of Chemical Engineers
- Year
- 2008
- Tongue
- English
- Weight
- 583 KB
- Volume
- 54
- Category
- Article
- ISSN
- 0001-1541
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
The problem of conditional simulation of random fields gained a significant interest recently due to its applications to urban earthquake monitoring. In this paper, for the first time in the literature, the method of conditional simulation of non-Gaussian random fields is developed. It combines prev
## Abstract In this paper, a general kernel density estimator has been introduced and discussed for multivariate processes in order to provide enhanced realβtime performance monitoring. The proposed approach is based upon the concept of kernel density function, which is more appropriate to the unde